Shouhei KIDERA

Department of Computer and Network EngineeringProfessor
Cluster II (Emerging Multi-interdisciplinary Engineering)Professor
  • Profile:

    Apr, 1st, 2005 COE Research Assistant in Graduate School of Informatics in Kyoto University, 21st Century COE Program (Grant No. 14213210) Apr, 1st, 2007 Japan Society for the Promotion of Science Research Fellow (Doctor Course) in Graduate School of Informatics Kyoto University Oct, 1st, 2007 Japan Society for the Promotion of Science Research Fellow (Post Doctoral) in Graduate School of Informatics Kyoto University Apr, 1st, 2009 Assistant Professor in Electronic Engineering, Graduate School of Electro-Communications, University of Electro-Communications Apr, 1st, 2010 Assistant Professor, Graduate School of Informatics and Engineering, University of Electro-Communications Sep, 1st, 2014 Associate Professor, Graduate School of Informatics and Engineering, University of Electro-Communications Apr., 2016 - Sep., 2016 - Visiting Researcher, Univerisity of Wisconsin Madison (with Lab by Prof. S.C. Hagness) Oct., 2017 - Japan Science and Technology Agency, Strategic Basic Research Programs, PRESTO Researcher (Concurrent post)

Researcher Information

Degree

  • Ph.D in Informatics, Kyoto University, Sep. 2007

Research Keyword

  • Millimeter wave short range radar
  • Microwave breast cancer diagnosis
  • Non-destructive evaluation
  • Complex permittivity imaging
  • Microwave imaging
  • Super-resolution radar image processing
  • Ultra wideband (UWB) radar
  • Electro-magnetic theory
  • Digital signal processing
  • Inverse scattering analysis, Electro-magnetic tomography

Field Of Study

  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Measurement engineering
  • Informatics, Mathematical informatics
  • Informatics, Biological, health, and medical informatics
  • Life sciences, Biomedical engineering
  • Social infrastructure (civil Engineering, architecture, disaster prevention), Safety engineering

Career

  • Apr. 2023 - Present
    The University of Electro-Communications, Graduate School of Informatics and Engineering, School of Informatics and Engineering, "Department of Computer and Network Engineering, Cluster II （Emerging Multi-interdisciplinary Engineering）", Professor
  • 01 Oct. 2017 - 31 Mar. 2021
    Japan Science and Technology Agency, Strategic Basic Research Programs, PRESTO Researcher (Concurrent post)
  • 01 Apr. 2016 - 30 Sep. 2016
    University of Wisconsin Madison, Honorary Fellow
  • Sep. 2014
    The University of Electro-Communications, Graduate School of Informatics and Engineering Department of Computer and Network Engineering, Associate Professor
  • Apr. 2009 - Aug. 2014
    University of Electro-Communications, Graduate School of Informatics and Engineering, Assistant Professor
  • Oct. 2007 - Mar. 2009
    Kyoto University, Graduate School of Informatics Department of Communications and Computer Engineering, Japan Society for the Promotion of Science Research Fellow (Post Doctoral)
  • Apr. 2007 - Sep. 2007
    Kyoto University, Graduate School of Informatics, Japan Society for the Promotion of Science Research Fellow (Doctor Course)
  • Apr. 2005 - Mar. 2007
    Kyoto University, Graduate School of Informatics, The 21 century COE Research Assitant

Educational Background

  • Apr. 2005 - Sep. 2007
    Kyoto University, Graduate School, Division of Information and Communication, Department of Communications and Computer Engineering, 博士後期課程, Japan
  • Apr. 2003 - Mar. 2005
    Kyoto University, Graduate School of Informatics, Department of Communications and Computer Engineering, Japan
  • Apr. 1998 - Mar. 2003
    Kyoto University, Faculty of Engineering, School of Electrical & Electronic Engineering, Japan

Member History

  • May 2016 - Present
    専門委員, 電子情報通信学会 宇宙航行エレクトロニクス(SANE)研究会, Society
  • Apr. 2011 - Present
    常任査読委員, 電子情報通信学会 ソサイエティ論文誌編集委員会, Society
  • Jan. 2024 - Dec. 2025
    Co-chair of Technical Program Committee (SC 5), PhotonIcs and Electromagnetics Research Symposium (PIERS) 2025, Society
  • Oct. 2023 - Dec. 2025
    Member of Tutorial Committee, APSAR 2025, Society
  • 2023 - 2024
    Session Convener, "Inverse Scattering and Imaging" and "Electromagnetic/optical imaging and sensing for biomedical applications", URSI AT-RASC 2024, Society
  • 2022 - 2023
    Session Convener, "Inverse Scattering and Imaging" and "Electromagnetic/optical imaging and sensing for biomedical applications", 2023 URSI General Assembly (URSI GASS 2023)
  • Jul. 2020 - Mar. 2022
    工学系委員, 次世代医療機器・再生医療等製品評価指標作成事業（厚生労働省・経済産業省合同検討会） 「乳がん診断支援装置審査ワーキンググループ」, Government
  • 2021 - 2022
    Session Convener, "B06: Inverse Scattering and Imaging", 3rd URSI Atlantic Radio Science Meeting (AT-AP-RASC URSI 2022)
  • May 2017 - Apr. 2021
    編集委員, 電子情報通信学会 和文論文誌編集委員会, Society
  • Dec. 2020 - Mar. 2021
    科学研究費委員会 令和3年度 審査第四部会第21030小委員会委員 （科研費 若手B 審査委員） 計測工学関連, 日本学術振興会, Society
  • Dec. 2019 - Mar. 2020
    科学研究費委員会 令和2年度 審査第四部会第21030小委員会委員 （科研費 若手B 審査委員） 計測工学関連, 日本学術振興会, Society
  • 2019 - 2020
    Session Convener, "B06: Inverse Scattering and Imaging" and " KB1 : Electromagnetic Biomedical Imaging and Inversion", 2020 URSI General Assembly (URSI GASS 2020)
  • May 2009 - May 2019
    専門委員, 電子情報通信学会 電磁界理論研究専門委員会, Society
  • Dec. 2018 - Mar. 2019
    科学研究費委員会 平成31年度 審査第四部会第21030小委員会委員 （科研費 若手B 審査委員） 計測工学関連, 日本学術振興会, Society
  • 2018 - 2019
    Session Convener, "B06: Inverse Scattering and Imaging", 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC 2019), Society
  • 2016 - 2017
    Special Session Chair, International Conference on Antenna Measurements & Applications (CAMA2017), Society
  • 01 May 2014 - 30 Apr. 2016
    幹事, 電子情報通信学会 宇宙航行エレクトロニクス研究会 専門委員会, Society
  • 01 Apr. 2015
    代表幹事, 電子情報通信学会 国際会議APSAR国内委員会, Society
  • 2015
    Sponsorship chair, IGARSS 2019, Society
  • Mar. 2011 - Jan. 2014
    編集委員, 電子情報通信学会 エレクトロニクスソサイエティ 英文論文小特集編集委員会, Society
  • 2012 - 2013
    Secretary, The Asia-Pasific International Conference on Synthetic Aperture Radar 2013, Society
Research Activity Information

Award

  • Dec. 2023
    IEEE AP-S Tokyo Chapter, 対象論文：Yoshihiro Yamauchi and Shouhei Kidera, "Contrast Source Inversion Enhanced Synthetic Aperture Approach for Microwave Multi-layered Subsurface Imaging", IEEE Trans. Antennas and Propagation, (in press), 2023.
    IEEE AP-S Japan Student Award, Yoshihiro Yamauchi;Shouhei Kidera
    Japan society
    URL
  • Nov. 2023
    Organizing Committee of ISAP 2023
    ISAP 2023 Student Paper Competition, Finalist (Top 6), Junya Okazaki;Jianghaomiao He;Shouhei Kidera
    International society, Malaysia
    URL
  • Nov. 2023
    Organizing Committee of ISAP 2023
    ISAP 2023 Student Paper Competition, Finalist (Top 6), Peixian Zhu;Shouhei Kidera
    International society, Malaysia
    URL
  • Feb. 2023
    Tohoku University RIEC, 業績 「超広帯域電波センシングにおける超高精度画像解析法の研究」
    授賞理由 木寺氏は、1/100 波長の超高精度画像化法、多重散乱波を用いた影領域画像化、レーダとトモグラフィの双方向処理による複素誘電率分布推定、等の多くの独創的かつ革新的な画像解析法を構築し、それらをマイクロ波乳癌診断、道路内部非破壊検査、ミリ波による人体識別センサ等の社会的に重要な課題に発展させてこられました。これらは社会的貢献の意義は大きいと判断でき、RIEC Award本賞にふさわしいものと認められました。
    超広帯域電波センシングにおける超高精度画像解析法の研究
    RIEC Award, 木寺 正平
    Publisher
    URL
  • Nov. 2022
    ISAP 2022 Student Paper Competition, Finalist (Top 10), Yoshiki Sekigawa;Shouhei Kidera
    International society
  • Sep. 2022
    公益財団法人 KDDI財団, 業績：マイクロ波・ミリ波帯電磁波による超高精度・多元的イメージングの研究
    マイクロ波・ミリ波帯電磁波による超高精度・多元的イメージングの研究
    KDDI Foundation Award (Contribution Award), 木寺正平
    Publisher
    URL
  • Sep. 2021
    電子情報通信学会, 和文編集委員としての貢献
    電子情報通信学会 通信ソサイエティ活動功労賞, 木寺 正平
    Japan society, Japan
    URL
  • Mar. 2021
    電子情報通信学会 エレクトロニクスソサイエティ
    電子情報通信学会 エレクトロニクスソサイエティ 活動功労表彰, 木寺正平
    Japan society
  • Mar. 2021
    財団法人 電気通信普及財団, 本論文は、UWB-TWI レーダに関して重み付きカーネル密度推定に基づきドップラ速度を高精度に検出する技術を提案
    した後、レーダ画像化技術の RPM 法と組み合わせることにより、高い画像分解能を有する 3 次元人体イメージを推定
    できることを述べている。またシミュレーションと模擬的な実験により、提案方式の有効性を検証している。瓦礫に
    埋もれた被災者の発見、自動運転における人物検知などに供する有効な技術のひとつとして、テレコムシステム技術
    賞にふさわしいと高く評価する。
    TELECOM System Technology Award, M. Setsu;T. Hayashi;J. He;S. Kidera
    Publisher
    URL
  • Mar. 2019
    URSI APRASC 2019 Organizing Committee
    APRASC 2019 Student Paper Competition, Honorable Mention, Shuto Takahashi;Shouhei Kidera
    International society
  • Dec. 2018
    IEEE APS Japan Chapter
    IEEE APS Japan Chapter Student Award, Shuto Takahashi
    Japan society
  • Mar. 2017
    Best Paper Finalist at the 11th European Conference on Antennas and Propagation (EuCAP) 2017, Shouhei Kidera
    International society
  • Nov. 2016
    the International Conference on Space, Aeronautical and Navigational Electronics 2016 (ICSANE 2016)
    Young Scientist Award, Masafumi Setsu;Shouhei Kidera
    International society
  • Sep. 2016
    電子情報通信学会
    電子情報通信学会 通信ソサイエティ活動功労賞, 木寺 正平
    Others, Japan
  • Mar. 2016
    IEEE AES Japan Chapter
    Young Scientist Award, 2015 IEEE AES Japan Chapter, Shouhei Ohno(Shouhei Kidera;Tetsuo Kirimoto
    Official journal
  • Nov. 2015
    the International Conference on Space, Aeronautical and Navigational Electronics 2015 (ICSANE 2015)
    Young Scientist Award, Masanari Noto(Fang Shang;Shouhei Kidera;Tetsuo Kirimoto
    International society
  • Oct. 2014
    International Conference on Space, Aeronautical and Navigational Electronics 2014 (ICSANE 2014)
    Young Scientist Award, 山領 歩;Shouhei Kidera;Tetsuo Kirimoto
    International society
  • Apr. 2014
    Funai Foundation for Information Technology, 超広帯域レーダを用いた超分解能・不可視領域立体像再構成法の研究
    木寺氏は、超広帯域電磁波を用いた近距離センシング分野において、全く新しい画像化原理を構築し、再現精度、空間分解能、処理時間において従来性能を超える革新的立体像再構成手法を提案してきた。更に多重散乱波を積極的に用いることで、従来では再現不可能であった領域（影領域）を高精度に推定する独自の手法を提案し、その有効性を実証してきた。卓越した同画像化性能は、国内外の当該分野で注目され、これを基盤とした研究開発が国内外の複数の研究機関で進められている。更に木寺氏は、誘電体内部画像化問題にも本手法の原理を導入し、独自の誘電率推定法を併用することで、超分解能・精度が達成されることを実証している。上記手法は多様な波長帯域に拡張可能であり、災害救助ロボットセンサ、非信襲生体計測及び非破壊計測等の幅広い応用分野で革新的計測技術を創出することが期待されている。
    超広帯域レーダを用いた超分解能・不可視領域立体像再構成法の研究
    Funai Achievement Award, Shouhei Kidera
    Publisher
    URL
  • Apr. 2013
    Minister of Education, Culture, Sports, Science and Technology, 超広帯域レーダを用いた超分解能立体画像化法の研究
    超広帯域レーダを用いた超分解能立体画像化法の研究
    The Young Scientists’ Prize, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, 木寺 正平
    Others
    URL
  • Mar. 2013
    IEEE AES Japan Chapter
    Best Paper Award, Shouhei Kidera
    Official journal
  • Mar. 2013
    財団法人 電気通信普及財団
    TELECOM System Technology Award
    Publisher
  • Oct. 2012
    International Conference on Space, Aeronautical and Navigational Electronics 2012(ICSANE 2012)
    Young Scientist Award, Ryo Yamaguchi;Shouhei Kidera;Tetsuo Kirimoto
    International society
  • Jun. 2012
    The foundation of Ando laboratory
    Ando Incentive Prize for the Study of Electronics, 木寺 正平
  • Sep. 2011
    The Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) 2011
    Student Best Paper Award, 3rd Place, Ryo Yamaguchi;Shouhei Kidera;Tetsuo Kirimoto
    International society
  • Sep. 2011
    The Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) 2011
    Student Best Paper Award, 4th Place,, Tetsuhiro Okano;Shouhei Kidera;Tetsuo Kirimoto
    International society
  • Mar. 2010
    The Institute of Electronics, Information and Communication Engineers (IEICE)
    IEICE Young Researcher's Award, Shouhei Kidera
    Japan society
  • Aug. 2008
    IEEJ
    Best paper award, Shouhei Kidera
    Japan society
  • Sep. 2007
    IEEE International Conference on Ultra Wide-band 2007
    Best Student Paper Award, Shouhei Kidera
    International society, United States

Paper

  • Three-dimensional Complex Permittivity Reconstruction via Wave-number Space Based Deep Neural Network for Microwave Breast Imaging
    Peixian Zhu; Shouhei Kidera
    Last, IEICE Trans. Commun., Dec. 2024, Peer-reviwed
    Scientific journal, English
  • Time-series Deep Learning Based Radar Image Prediction of Pedestrian Micro-Motion Millimeter Wave Automotive Radar
    Takeru Matsuoka; Shouhei Kidera
    Last, The 2024 International Symposium on Antennas and Propagation (ISAP 2024), Incheon, Republic of Korea, Oct., 2024., Nov. 2024, Peer-reviwed
    International conference proceedings, English
  • High-resolution Three-dimensional Millimeter Wave Imaging with Sparse Array Optimization
    Seungjae Lee; Shouhei Kidera
    Last, The 2024 International Symposium on Antennas and Propagation (ISAP 2024), Incheon, Republic of Korea, Oct., 2024., Nov. 2024, Peer-reviwed
    International conference proceedings, English
  • Non-Line-of-Sight Imaging by Linearized Inverse Scattering Method Based on Physical Optics Approximation
    Hiroshi Suenobu; Yoshio Inasawa; Takayuki Nakanishi; Shouhei Kidera; Yasuhiro Nishioka
    The 25th edition of the International Conference on Electromagnetics in Advanced Applications (ICEAA 2024), and the 13th edition of the IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (IEEE-APWC 2024) , -6 September 2024 in Lisbon, Portugal., Sep. 2024, Peer-reviwed
    International conference proceedings, English
  • Anomaly Detection Method with Rebar Response Suppression for Microwave Ground Penetrating Radar Pavement Inspection
    Natsuki Akiyama; Takahide Morooka; Katsuyoshi Suzuki; Shouhei Kidera
    Last, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Jul. 2024, Peer-reviwed, True
    Scientific journal, English
  • TDOA Prior Contrast Source Inversion for Microwave Ablation Quantitative Monitoring
    Hideaki Muramatsu; Shouhei Kidera
    Last, The 2024 IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (IEEE APS/URSI 2024), Florence, Italy, July, 2024., Jul. 2024, Peer-reviwed, True
    International conference proceedings, English
  • Frequency Sinogram Based Convolutional Neural Network Approach for Microwave Breast Cancer Diagnosis
    Ayumi Ueda; Shouhei Kidera
    Last, The 2024 IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (IEEE APS/URSI 2024), Florence, Italy, July, 2024., Jul. 2024, Peer-reviwed, True
    International conference proceedings, English
  • Three-dimensional Convolutional Auto-Encoder Based Quantitative Imaging for Microwave Breast Cancer Diagnosis
    Peixian Zhu; Shouhei Kidera
    Last, The 2024 IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (IEEE APS/URSI 2024), Florence, Italy, July, 2024., Jul. 2024, Peer-reviwed, True
    International conference proceedings, English
  • Background Updating Contrast Source Inversion for Microwave Breast Cancer Quantitative Diagnosis
    Mutsuki Nakajima; Shouhei Kidera
    Last, The 2024 IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (IEEE APS/URSI 2024), Florence, Italy, July, 2024., Jul. 2024, Peer-reviwed, True
    International conference proceedings, English
  • Tomography Enhanced Radar Imaging in Dispersive and Stratified Media for Terahertz Subsurface Imaging
    Shouhei Kidera; Kyohei Tomita
    Lead, 4th URSI Atlantic Radio Science Meeting (AT-RASC) 2024, Gran Canaria, Spain, May, 2024., May 2024, Peer-reviwed
    International conference proceedings, English
  • Doppler Velocity Decomposition Based Radar Imaging by 79 GHz Band Millimeter Wave Radar
    Yoshiki Sekigawa; Shouhei Kidera
    Last, IEICE Trans. Commun., May 2024, Peer-reviwed
    Scientific journal, English
  • Complex Permittivity Imaging by Incorporating Synthetic Aperture Radar and Inverse Scattering Method for Stratified Ground Medium
    Yoshihiro Yamauchi; Shouhei Kidera
    Last, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Dec. 2023, Peer-reviwed, True
    Scientific journal
  • Complex Permittivity Retrieval Approach with Radar Enhanced Contrast Source Inversion for Microwave Non-destructive Road Evaluation
    Katsuyoshi Suzuki; Shingo Nakamura; Shouhei Kidera
    Last, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Dec. 2023, Peer-reviwed, True
    Scientific journal
  • Radar-Tomographic Bidirectional Method for Quantitative Microwave Breast Imaging
    Mutsuki Nakajima; Shouhei Kidera
    Last, IEEE Trans. on Antennas and Propagation, Nov. 2023, Peer-reviwed, True
    Scientific journal, English
  • Complex Permittivity Reconstruction using Skin Surface Reflection and Neural Network for Microwave Breast Imaging
    Peixian Zhu; Shouhei Kidera
    Last, IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, Oct. 2023, Peer-reviwed, True
    Scientific journal, English
  • Accurate Doppler Velocity;Associated Imaging Method for;GHz Millimeter;Wave Band Radar
    Yoshiki Sekigawa; Shouhei Kidera
    Last, The 2023 International Symposium on Antennas and Propagation (ISAP), Kuala Lumpur, Malaysia Oct., 2022., Oct. 2023, Peer-reviwed
    International conference proceedings
  • Multiple Scattering Based Pedestrian Identification in NLOS Scene With Millimeter Wave Radar
    Junya Okazaki; Jianghaomiao He; Shouhei Kidera
    Last, The 2023 International Symposium on Antennas and Propagation (ISAP), Kuala Lumpur, Malaysia Oct., 2022., Oct. 2023, Peer-reviwed
    International conference proceedings
  • Experimental Study on Convolutional Auto-Encoder Based Three-Dimensional Quantitative Imaging for Microwave Breast Cancer Diagnosis
    Peixian Zhu; Shouhei Kidera
    Last, The 2023 International Symposium on Antennas and Propagation (ISAP), Kuala Lumpur, Malaysia Oct., 2022., Oct. 2023, Peer-reviwed
    International conference proceedings
  • Radar Image Based Pedestrian Recognition in NLOS Area for Millimeter Wave Radar
    Jianghaomiao He; Shouhei Kidera
    Last, The 2023 International Symposium on Antennas and Propagation (ISAP), Kuala Lumpur, Malaysia Oct., 2022., Oct. 2023, Peer-reviwed, Invited
    International conference proceedings
  • Contrast Source Inversion Based Complex Permittivity Imaging for Microwave Non-destructive Evaluation in Real Road Scenario
    Katsuyoshi Suzuki; Shouhei Kidera
    Last, International Conference on Electromagnetics in Advanced Applications (ICEAA 2023), and the 12th edition of the IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (IEEE-APWC 2023) Venice, Italy,, Oct. 2023, Peer-reviwed
    International conference proceedings, English
  • Contrast Source Inversion Enhanced Synthetic Aperture Approach for Microwave Multi-layered Subsurface Imaging
    Yoshihiro Yamauchi; Shouhei Kidera
    Last, IEEE Transaction on Antennas and Propagation, Oct. 2023, Peer-reviwed, True
    Scientific journal, English
  • Radar Image Enhanced Inverse Scattering Approach with Multi-Frequency Data for Microwave Breast Imaging
    Mutsuki Nakajima; Shouhei Kidera
    Last, IEEE MTT-S International Microwave Biomedical Conference (IMBioC) 2023 @Leuven, Belgium,, Sep. 2023, Peer-reviwed
    International conference proceedings, English
  • Clinical Validation of Back-Scattered Data Based Machine Learning Scheme for Microwave Breast Cancer Diagnosis
    Ayumi Ueda; Shouhei Kidera
    Last, IEEE MTT-S International Microwave Biomedical Conference (IMBioC) 2023 @ Leuven, Belgium,, Sep. 2023, Peer-reviwed
    International conference proceedings, English
  • Deep Learning Based Three-dimensional Permittivity Reconstruction with Skin Surface Rejection for Microwave Breast Imaging
    Peixian Zhu; Shouhei Kidera
    Last, 2023 General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS 2023), Sapporo, Japan, Aug. 2023, Peer-reviwed
    International conference proceedings, English
  • Experimental Study on Contrast Source Inversion Based Complex Permittivity Reconstruction for Microwave Nondestructive Road Evaluation
    Katsuyoshi Suzuki; Shouhei Kidera
    Last, 2023 General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS 2023), Sapporo, Japan,, Aug. 2023, Peer-reviwed
    International conference proceedings, English
  • Contrast Source Inversion Enhanced Radar and Complex Permittivity Reconstruction Approach for Microwave Breast Imaging
    Mutsuki Nakajima; Shouhei Kidera
    Last, 2023 General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS 2023), Sapporo, Japan, Aug. 2023, Peer-reviwed
    International conference proceedings, English
  • Contrast Source Enhanced Radar and Inverse Scattering Scheme for Microwave Stratified Ground Media Imaging
    Shouhei Kidera; Yoshihiro Yamauchi
    Lead, 2023 General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS 2023), Aug. 2023, Peer-reviwed
    International conference proceedings, English
  • Accurate Three-Dimensional Point Cloud Radar Imaging by k- and Doppler Decomposition for Millimeter Wave Radar
    Takeru Ando; Shouhei Kidera
    Last, 2023 European Conference on Antennas and Propagation (EUCAP), Florence, Italy, March, 2023., Mar. 2023, Peer-reviwed
    International conference proceedings
  • Contrast Source Inversion for Objects Buried into Multi-layered Media for Subsurface Imaging Applications
    Yoshihiro YAMAUCHI; Shouhei KIDERA
    Last, IEICE Transactions on Electronics, Institute of Electronics, Information and Communications Engineers (IEICE), Jan. 2023, Peer-reviwed
    Scientific journal
    URL
    DOI URL
  • Contrast Source Inversion Enhanced Confocal Imaging for Highly Heterogeneous Breast Media in Microwave Mammography
    Umezu Gaku; Yoshihiro Yamauchi; Shouhei Kidera
    Last, IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, xx, x, x-x, Dec. 2022, Peer-reviwed
    Scientific journal, English
  • k- and Doppler Velocity Decomposition Based Range Points Migration for Three-dimensional Localization with Millimeter Wave Radar
    Takeru Ando; Shouhei Kidera
    Last, IEEE Sensors Journal, 1, Dec. 2022, Peer-reviwed
    Scientific journal, English
  • Accurate Doppler Velocity Estimation by Iterative WKD Algorithm for Pulse-Doppler Radar
    Takumi Hayashi; Takeru Ando; Shouhei Kidera
    Last, IEICE Trans. Commun., E105-B, x, x-x, Dec. 2022, Peer-reviwed
    Scientific journal, English
  • Doppler Velocity Decomposed Radar Imaging Method for 79 GHz Band Millimeter Wave Radar
    Yoshiki Sekigawa; Shouhei Kidera
    Last, 2022 International Symposium on Antennas and Propagation (ISAP2022),, x, x, x-x, Nov. 2022, Peer-reviwed
    International conference proceedings, English
  • Radar Enhanced Contrast Source Inversion Method for Microwave Nondestructive Evaluation
    Katsuyoshi Suzuki; Shouhei Kidera
    Last, 2022 International Symposium on Antennas and Propagation (ISAP2022),, x, x, x-x, Nov. 2022, Peer-reviwed
    International conference proceedings, English
  • Inverse Scattering Enhanced Synthetic Aperture Imaging for Multi-Layered Ground Media
    Yoshihiro Yamauchi; Shouhei Kidera
    Last, 2022 International Symposium on Antennas and Propagation (ISAP2022),, x, x, x-x, Nov. 2022, Peer-reviwed
    International conference proceedings, English
  • Microwave Subsurface Imaging Method by Incorporating Radar and Tomographic Approaches
    Shuto Takahashi; Katsuyuki Suzuki; Takahiro Hanabusa; Shouhei Kidera
    Last, IEEE Trans. Antennas & Propagation, x, x, x-x, Nov. 2022, Peer-reviwed
    Scientific journal, English
  • Contrast Source Inversion Enhanced Confocal Imaging for Highly Heterogeneous Breast Media in Microwave Mammography,
    G. Umezu; Y. Yamauchi; S. Kidera
    Last, 44th IEEE International Engineering in Medicine and Biology Conference 2022 (IEEE EMBC 2022, x, x, x-x, Jul. 2022, Peer-reviwed
    International conference proceedings, English
  • Wavenumber Based Convolutional Auto-Encoder for Three-Dimensional Microwave Breast Imaging,
    P. Zhu; S. Kidera
    Last, 44th IEEE International Engineering in Medicine and Biology Conference 2022 (IEEE EMBC 2022, x, x, x-x, Jul. 2022, Peer-reviwed
    International conference proceedings, English
  • マイクロ波簡易乳がんスクリーニングのための深層学習と逆散乱解析法の統合
    木寺 正平
    Lead, 電子情報通信学会会誌 小特集「マイクロ波・ミリ波を用いた生体計測の最新動向」, 105, 6, 1-5, Jun. 2022, Peer-reviwed, Invited
    Scientific journal, Japanese
  • Multi-frequency Contrast Source Inversion Based Permittivity Estimation for Terahertz Multi-layer Analysis
    Jun Okada; Shouhei Kidera
    Last, IEEE Transactions on Terahertz Science and Technology, x, x, X-x, May 2022, Peer-reviwed
    Scientific journal, English
  • Deep Learning Based Inverse Scattering Analysis for Microwave Breast Cancer Imaging
    Shouhei Kidera; Umita Hirose; Peixian Zhu
    2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) (Suzhou, China, May 16-18, 2022), x, x, x-x, May 2022, Peer-reviwed, Invited
    International conference proceedings, English
  • Deep Learning Based Calibration in Contrast Source Inversion Based Microwave Subsurface Imaging
    Takahiro Hanabusa; Takahide Morooka; Shouhei Kidera
    Last, IEEE Geoscience and Remote Sensing Letters, Institute of Electrical and Electronics Engineers (IEEE), 19, 1-5, Apr. 2022, Peer-reviwed
    Scientific journal, English
    URL
    DOI URL
  • Accurate Micro-Doppler Analysis by Doppler and k-space Decomposition for Millimeter Wave Radar
    Takeru Ando; Shouhei Kidera
    Last, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 1, Mar. 2022, Peer-reviwed
    Scientific journal, English
  • Resolution Enhanced Distorted Born Iterative Method Using ROI Limiting Scheme for Microwave Breast Imaging
    Yutaro Suzuki; Shouhei Kidera
    Last, IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, xx, x, x-x, Dec. 2021, Peer-reviwed
    Scientific journal, English
  • Clinical Test of Surface Rejection Method for Microwave Breast Cancer Imaging
    Haiyang Ma; Shinsuke Sasada; Morihito Okada; Takamaro Kikkawa; Shouhei Kidera
    Last, The 2021 IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (IEEE APS/URSI 2021), x, x, x-x, Dec. 2021, Peer-reviwed
    International conference proceedings, English
  • Polarimetry Effect in Three-dimensional Contrast Source Inversion for Microwave Breast imaging
    Peixian Zhu; Hayatomomaru Morimoto; Shouhei Kidera
    Last, The 2021 IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (IEEE APS/URSI 2021), x, x, x-x, Dec. 2021, Peer-reviwed
    International conference proceedings, English
  • Contrast Source Inversion Based Object Reconstruction Buried in Multi-layerd Background for Microwave Subsurface Imaging
    Yoshihiro Yamauchi; Shouhei Kidera
    Last, The 2021 IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (IEEE APS/URSI 2021), x, x, x-x, Dec. 2021, Peer-reviwed
    International conference proceedings, English
  • Deep Learning Enhanced Contrast Source Inversion for Microwave Breast Cancer Imaging Modality
    Umita Hirose; Peixian Zhu; Shouhei Kidera
    Last, IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, xx, x, x-x, Nov. 2021, Peer-reviwed
    Scientific journal, English
  • Three-dimensional Doppler Associated Radar Imaging Method Based on Bi-directional Data Processing
    Takumi Hayashi; Takeru Ando; Shouhei Kidera
    Last, IET Radar, Sonar & Navigation, xx, x, x-x, Sep. 2021, Peer-reviwed
    Scientific journal, English
  • Doppler Velocity Enhanced Range Migration Algorithm for High Resolution and Noise-Robust Three-dimensional Radar Imaging
    Tomoki Ohmori; Shouhei Kidera
    Last, IEEE Sensors Journal, 2, 18, 20616-20628, Sep. 2021, Peer-reviwed
    Scientific journal, English
  • Contrast Source Inversion Based Multi-layered Object Analysis for Terahertz Wave Imaging
    Hayatomomaru Morimoto; Yoshihiro Yamauchi; Shouhei Kidera
    Last, IEEE Geoscience and Remote Sensing Letters, xx, x, x-x, Aug. 2021, Peer-reviwed
    Scientific journal, English
  • Gaussian Mixture Model Parameter Optimization in Range Points Migration Based Three-dimensional Radar Imaging
    Tomoki Ohmori; Shuto Takahashi; Shouhei Kidera
    Last, IEEE Sensors Journal, 21, 12, 13594-13602, Jun. 2021, Peer-reviwed
    Scientific journal, English
  • Depth Adaptive Object Identification Using Terahertz Time Domain Spectroscopic Data
    Kanto Kito; Takamaru Matsui; Shouhei Kidera
    Last, IEEE Transactions on Terahertz Science and Technology, 11, 5, 598-604, May 2021, Peer-reviwed
    Scientific journal, English
  • Diffraction Signal Based Human Recognition in Non-line-of-sight (NLOS) Situation for Millimeter wave Radar
    Jianghaomiao He; Shota Terashima; Hideyuki Yamada; Shouhei Kidera
    Last, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, x, 4370-4380, Apr. 2021, Peer-reviwed
    Scientific journal, English
  • "Bi-directional Updating Algorithm for ROI and Dielectric Profile in CSI Framework for Microwave Subsurface Imaging"
    Takahide Morooka; Shouhei Kidera
    2020 International Symposium on Antennas and Propagation (ISAP2020), Osaka, Japan, Jan., 2021., x, x, x-x, Jan. 2021, Peer-reviwed, Invited
    International conference proceedings, English
  • "Polarimetric Signature CNN based Complex Permittivity Estimation for Microwave Non-destructive Testing"
    Hongyang Zhang; Shouhei Kidera
    Last, 2020 International Symposium on Antennas and Propagation (ISAP2020), Osaka, Japan, Jan., 2021., x, x, x-x, Jan. 2021, Peer-reviwed
    International conference proceedings, English
  • Noise-robust Microwave Breast Imaging Applied to Multi-frequency Contrast Source Inversion
    Hiroki Sato; Shouhei Kidera
    Last, IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, 5, 2, 187-193, Dec. 2020, Peer-reviwed
    Scientific journal, English
  • Super-Resolution Multi-layer Structure Analysis via Depth Adaptive Compressed Sensing for Terahertz Subsurface Imaging
    Hayatomomaru Morimoto; Shouhei Kidera
    Last, IEEE Geoscience and Remote Sensing Letters, xx, x, x-x, Dec. 2020, Peer-reviwed
    Scientific journal, English
  • Complex Permittivity Reconstruction for Multi-layered Object by Low Complexity Contrast Source Inversion Method
    Hayatomomaru Morimoto; Shouhei Kidera
    International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, IEEE Computer Society, 2020-, 617-618, 08 Nov. 2020, This paper introduces complex permittivity reconstruction scheme for multi-layer structured object by contrast source inversion (CSI) scheme in Terahertz(THz) frequency. The inherent problem in CSI based optimization scheme is that the reconstruction accuracy is highly dependent on initial estimates, or number of unknowns. This paper introduces a new optimization scheme by specifying a multi-layer object and exploiting its homogeneity of each layer. The FDTD numerical test demonstrates that our method could provide dielectric property for each layer with considerably lower complexity, that contributes a quantitative material analysis in THz frequency.
    International conference proceedings, English
    DOI URL
  • マイクロ波イメージングによる複素誘電率推定ーレーダとトモグラフィの融合ー
    木寺 正平
    Lead, Journal of the Visualization Society of Japan, 40, 159, 136-139, 13 Oct. 2020, Invited
    Scientific journal, Japanese
  • "Super-resolution Doppler Velocity and Range Estimator for Short-range Human Recognition Radar"
    Takeru Ando; Shouhei Kidera
    Last, 2020 IEEE Radar Conference, Florence, Italy, Sep., 2020., x, x, x-x, Oct. 2020, Peer-reviwed
    International conference proceedings, English
  • k-Space Decomposition Based Super-resolution Three-dimensional Imaging Method for Millimeter Wave Radar
    Tomoki Omori; Yusuke Isono; Katsuhiko Kondo; Yusuke Akamine; Shouhei Kidera
    Last, 2020 IEEE Radar Conference, Florence, Italy, Sep., 2020., x, x, x-x, Oct. 2020, Peer-reviwed
    International conference proceedings, English
  • ROI Limited Unknowns Reduction based Contrast Source Inversion for Microwave Breast Imaging
    Hiroki Sato; Shouhei Kidera
    Last, IEEE Antenna Wireless Propagation Letters, IEEE Antenna Wireless Propagation Letters, 19, 12, 2285-2289, Oct. 2020, Peer-reviwed
    Scientific journal, English
  • k-Space Decomposition Based Three-dimensional Imaging with Range Points Migration for Millimeter Wave Radar
    Yoshiki Akiyama; Tomoki Omori; Shouhei Kidera
    Last, IEEE Trans. Geoscience & Remote Sensing, 59, 8, 6637-6650, Oct. 2020, Peer-reviwed
    Scientific journal, English
  • Accuracy Enhanced Contrast Source Inversion Algorithm for Microwave Breast Tumor Detectio
    Hiroki Sato; Shouhei Kidera
    Last, Proc. of URSI General Assembly, xx, xx, xx, Sep. 2020, Peer-reviwed
    International conference proceedings, English
  • Experimental Validation for ROI prior Contrast Source Inversion Algorithm for Microwave NDT Model
    Takahiro Hanabusa; Shouhei Kidera
    Last, Proc. of URSI General Assembly, xx, xx, xx, Sep. 2020, Peer-reviwed
    International conference proceedings, English
  • HUMAN BODY RECOGNITION METHOD USING DIFFRACTION SIGNAL IN NLOS SCENARIO FOR MILLIMETER WAVE RADAR
    Jianghaomiao He; Shota Terashima; Hideyuki Yamada; Shouhei Kidera
    Last, Proc. 2020 IEEE Geoscience and Remote Sensing Symposium, x, x, x-x, Jul. 2020, Peer-reviwed
    International conference proceedings, English
  • Bi-directional Processing Algorithm with RPM and WKD Based Doppler Velocity Estimator for 3-D Doppler-Radar Imaging
    Takumi Hayashi; Shouhei Kidera
    Last, Proc. 2020 IEEE Geoscience and Remote Sensing Symposium, x, x, x-x, Jul. 2020, Peer-reviwed
    International conference proceedings, English
  • Microwave Imaging Algorithm Based on Waveform Reconstruction for Microwave Ablation Treatment
    Kazuki Kanazawa; Kazuki Noritake; Yuriko Takaishi; Shouhei Kidera
    Last, IEEE Trans. Antennas & Propagation, 68, 7, 5613-5625, Jul. 2020, Peer-reviwed
    Scientific journal, English
  • Virtual Source Extended Range Points Migration Method for Auto-focusing Three-dimensional Terahertz Imaging
    Takamaru Matsui; Shouhei Kidera
    Last, IEEE Geoscience and Remote Sensing Letters, 18, 6, 989-993, May 2020, Peer-reviwed
    Scientific journal, English
  • Noise-Robust Distorted Born Iterative Method with Prior Estimate for Microwave Ablation Monitoring
    Yuriko Takaishi; Shouhei Kidera
    Last, IEICE Trans. Electron, Vol.E102-C, 1, x-x, Apr. 2020, Peer-reviwed
    Scientific journal, English
  • Super-resolution Doppler Velocity Estimation by Kernel Based Range-τ Point Conversions for UWB Short Range Radars
    Masafumi Setsu; Takumi Hayashi; Jianghaomiao He; Shouhei Kidera
    Last, IEEE Trans. Geoscience & Remote Sensing, 58, 4, 2430-2443, Apr. 2020, Peer-reviwed
    Scientific journal, English
  • Surface Clutter Suppression with FDTD Recovery Signal for Microwave UWB Mammography
    Kazuki Noritake; Shouhei Kidera
    Last, IEICE Trans. Electron, Vol.E102-C, 1, x-x, 01 Dec. 2019, Peer-reviwed
    Scientific journal, English
  • Range Points Migration Based Spectroscopic Imaging Algorithm for Wide-beam Terahertz Subsurface Sensor
    Takamaru Matsui; Shouhei Kidera
    Last, IEICE Trans. Electron, Vol.E102-C, 1, x-x, 01 Dec. 2019, Peer-reviwed
    Scientific journal, English
  • "Breast Tumor Characterization with Raw Data Based Machine Learning for Microwave Ultra-wideband Mammography"
    Umita Hirose; Shouhei Kidera
    Last, Proc. of 2019 International Symposium on Antennas and Propagation (ISAP 2019), x, x, x-x, Oct. 2019, Peer-reviwed
    International conference proceedings, English
  • Accurate Range and Spectroscopic Data Extraction Algorithm for Dispersive Object in Terahertz-Band Radar
    Hayatomomaru Morimoto; Shouhei Kidera
    Last, Proc. of 2019 International Symposium on Antennas and Propagation (ISAP 2019), x, x, x-x, Oct. 2019, Peer-reviwed
    International conference proceedings, English
  • Experimental Validation on Super-resolution Doppler Velocity Estimation Method by Gauss Kernel Estimation
    Jianghaomiao He; Shouhei Kidera
    Last, Proc. of 2019 International Symposium on Antennas and Propagation (ISAP 2019), x, x, x-x, Oct. 2019, Peer-reviwed
    International conference proceedings, English
  • Data Driven Parameter Optimization Algorithm for RPM Based 3-D Radar Imaging
    Tomoki Omori; Shouhei Kidera
    Last, Proc. of 2019 International Symposium on Antennas and Propagation (ISAP 2019), x, x, x-x, Oct. 2019, Peer-reviwed
    International conference proceedings, English
  • Accurate Terahertz Three-dimensional Subsurface Imaging by Range Points Migration Method
    Takamaru Matsui; Shouhei Kidera
    International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, IEEE Computer Society, 2019-, 01 Sep. 2019, This paper proposes the novel imaging algorithm based on the range points migration (RPM) for the terahertz (THz) subsurface three-dimensional imaging. The inherent problem in the optical lens-based THz imaging system is the depth dependency for the azimuth resolution, and it is fatal, if the depth of object is not available in such as subsurface imaging issue. This paper newly introduces the range points migration (RPM) based auto-focusing algorithm, which is suitable for general THz-time domain spectroscopic (THz-TDS) measurement. The effectiveness of the proposed method has been validated through the THz-TDS measured data.
    International conference proceedings, English
    DOI URL
  • "Compressed Sensing Based Super-Resolution Layer Structure Analysis For Terahertz Time-domain Spectroscopic Imaging System"
    Hayatomomaru Morimoto; Shouhei Kidera
    Last, International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) 2019, x, x, x-x, Sep. 2019, Peer-reviwed
    International conference proceedings, English
  • Spectroscopic Range Points Migration Method for Wide-beam Terahertz Imaging System
    Takamaru Matsui; Shouhei Kidera
    Last, International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) 2019, x, x, x-x, Sep. 2019, Peer-reviwed
    International conference proceedings, English
  • K-Space Decomposition Based Range Points Migration Method for Millimeter Wave Radar
    Yoshiki Akiyama; Shouhei Kidera
    International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., 680-683, 01 Jul. 2019, Millimeter wave short range radar is a great potential for monitoring sensor being applicable to optically challenging environments (e.g., smog, fog or darkness). While a number of imaging algorithms have been intensively developed, the range points migration(RPM) method is regarded as one of the most promising options to achieve accurate and fast three-dimensional imaging. However, since the RPM is based on incoherent processing, it has disadvantage for angular resolution in considering millimeter wave radar with lower fractional bandwidth. To address with the above problem, this paper proposes a k-space decomposition based RPM method, where the received data is converted and decomposed into the k-space to retain the desired angular resolution. As a notable feature of the proposed method, it offers a clustered range points decomposed by k-space, which contributes to enhance an imaging accuracy by the RPM. The two-dimensional and three-dimensional numerical tests demonstrate the effectiveness of our proposed method, compared with other super resolution algorithms.
    International conference proceedings, English
    DOI URL
  • Super-temporal Resolution Velocity Vector Estimation By Kernel Based Doppler Estimation for UWB-TWI Radars
    Masahumi Setsu; Shouhei Kidera
    Last, Proc. 2019 IEEE Geoscience and Remote Sensing Symposium, x, x, x-x, Jul. 2019, Peer-reviwed
    International conference proceedings, English
  • Multi-frequency Integration Algorithm of Contrast Source Inversion Method for Microwave Breast Tumor Detection
    H. Sato; S. Kidera
    Last, Proc. 41st IEEE International Engineering in Medicine and Biology Conference 2019 (IEEE EMBC 2019), x, x, x-x, Jul. 2019, Peer-reviwed
    International conference proceedings, English
  • Three-dimensional Distorted Born Iterative Method Enhanced by Breast Boundary Extraction for Microwave Mammography
    K. Noritake; S. Kidera
    Last, Proc. 41st IEEE International Engineering in Medicine and Biology Conference 2019 (IEEE EMBC 2019), x, x, x-x, Jul. 2019, Peer-reviwed
    International conference proceedings, English
  • Experimental Validation for Microwave Based Real-time Monitoring for Microwave Ablation Treatment
    K. Kanazawa; S. Kidera
    Last, Proc. 41st IEEE International Engineering in Medicine and Biology Conference 2019 (IEEE EMBC 2019), x, x, x-x, Jul. 2019, Peer-reviwed
    International conference proceedings, English
  • Iterative Data Clustering Algorithm of Doppler-associated RPM Imaging for UWB Human Body Imaging Radar
    Takumi Hayashi; Shouhei Kidera
    Progress in Electromagnetics Research Symposium, Institute of Electrical and Electronics Engineers Inc., 2019-, 400-407, 01 Jun. 2019, This study proposes a Doppler-associated range points migration (RPM) method for three-dimensional (3-D) imaging of the human body issue in a short-range ultra wideband (UWB) radar scenario, which is promising for various applications such as collision avoidance in autonomous driving systems. The RPM imaging is considerably enhanced by introducing promising signal-processing techniques for Doppler velocity analysis or for range extraction with high resolution and accuracy. As a promising solution, this study incorporates kernel-estimator-based Doppler analysis and compressed sensing (CS)-based range extraction, which are particularly promising for the low-frequency-band UWB radar. Further, enhancing the accuracy of Doppler velocity estimation using iterative data clustering of the range-τ data is focused upon in this study
    additionally, this study enhances the accuracy of multi-pulse-hits image integration. The 3-D numerical tests demonstrate that our proposed method remarkably enhances the accuracy of Doppler velocity estimation and image integration by RPM.
    International conference proceedings, English
    DOI URL
  • Boundary Extraction Enhanced Distorted Born Iterative Method for Microwave Mammography
    Kazuki Noritake; Shouhei Kidera
    Last, IEEE Antenna Wireless Propagation Letters, IEEE Antenna Wireless Propagation Letters, 18, 4, 776-780, 01 Apr. 2019, Peer-reviwed
    Scientific journal, English
  • Incorporation Algorithm with RPM and DBIM in Bayesian Framework for Microwave Non-destructive Testing
    Shuto Takahashi; Shouhei Kidera
    Last, Proc. 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC 2019), x, x, x-x, Mar. 2019, Peer-reviwed
    International conference proceedings, English
  • Low Complexity Algorithm for Range Points Migration Based Human Body Imaging for Multi-static UWB Radars Estimation for UWB Millimeter-wave Radar
    Yoshiki Akiyama; Shouhei Kidera
    Last, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,, 16, 2, 216-220, 01 Feb. 2019, Peer-reviwed
    Scientific journal, English
  • Range Points Migration and Doppler Based Multi-path Exploitation Method for UWBThrough-the-wall Radar
    Masafumi Setsu; Shouhei Kidera
    Last, IET Radar, Sonar & Navigation, IET Radar, Sonar & Navigation, 13, 1, 50-57, 01 Jan. 2019, Peer-reviwed
    Scientific journal, English
    DOI URL
  • Incorporation of Super-Resolution Doppler Analysis and Compressed Sensing Filter for UWB Human Body Imaging Radar
    Takumi Hayashi; Shouhei Kidera
    Last, Proc. of 2018 International Symposium on Antennas and Propagation (ISAP 2018), x, x, x-x, Oct. 2018, Peer-reviwed
    International conference proceedings, English
  • Acceleration Algorithm for Range Points Migration Based Human Body Imaging with UWB Multi-Static Radar
    Yoshiki Akiyama; Shouhei Kidera
    Last, Proc. of 2018 International Symposium on Antennas and Propagation (ISAP 2018), x, x, x-x, Oct. 2018, Peer-reviwed
    International conference proceedings, English
  • Efficient Inverse Scattering Algorithm by Incorporating RPM Method for Microwave Non-destructive Imaging
    Shuto Takahashi; Shouhei Kidera
    Last, Proc. The 26th European Signal Processing Conference (EUSIPCO), x, x, x-x, Sep. 2018, Peer-reviwed
    International conference proceedings, English
  • Spectroscopic Range Points Migration Method for Wide-beam Terahertz Imaging
    Takamaru Matsui and Shouhei Kidera,
    Last, Proc. International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) 2018, x, x, x-x, Sep. 2018, Peer-reviwed
    International conference proceedings, English
  • Accuracy Enhanced Distorted Born Iterative Method with Envelope Based Boundary Extraction for Microwave Mammography
    Shouhei Kidera; Noritake Kazuki
    2018 Progress in Electromagnetics Research Symposium (PIERS 2018), x, x, x-x, Aug. 2018, Peer-reviwed, Invited
    International conference proceedings, English
  • Super-resolution time of arrival estimation using random resampling in compressed sensing
    Masanari Noto; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE Transactions on Communications, Institute of Electronics, Information and Communication, Engineers, IEICE, E101B, 6, 1513-1520, 01 Jun. 2018, Peer-reviwed, There is a strong demand for super-resolution time of arrival (TOA) estimation techniques for radar applications that can that can exceed the theoretical limits on range resolution set by frequency bandwidth. One of the most promising solutions is the use of compressed sensing (CS) algorithms, which assume only the sparseness of the target distribution but can achieve super-resolution. To preserve the reconstruction accuracy of CS under highly correlated and noisy conditions, we introduce a random resampling approach to process the received signal and thus reduce the coherent index, where the frequency-domain-based CS algorithm is used as noise reduction preprocessing. Numerical simulations demonstrate that our proposed method can achieve super-resolution TOA estimation performance not possible with conventional CS methods.
    Scientific journal, English
    DOI URL
  • Acceleration of Range Points Migration-Based Microwave Imaging for Nondestructive Testing
    Shuto Takahashi; Shouhei Kidera
    Last, IEEE Antennas and Wireless Propagation Letters, Institute of Electrical and Electronics Engineers Inc., 17, 4, 702-705, 01 Apr. 2018, Peer-reviwed, A microwave ultrawideband radar offers advantages of high-range resolution and deep penetration depth in low-loss media, and is a promising efficient nondestructive testing technique. The traditional delay-and-sum (DAS)-based imaging algorithm inherently suffers from insufficient accuracy in determining the detailed structure of any buried foreign body. As a promising alternative, the range points migration (RPM)-based imaging method has been developed. However, this method faces a problem in terms of high computational cost, particularly in the case of three-dimensional objects, because it requires a densely sampled outer boundary to maintain its reconstruction accuracy. Therefore, this study accelerates the RPM-based method without sacrificing the reconstruction accuracy, exploiting the feature of Envelope-based outer boundary extraction. Finite-difference time-domain numerical simulation and experimental results indicate that our proposed method accurately reconstructs small air cavities buried in a concrete object with considerably low computational cost.
    Scientific journal, English
    DOI URL
  • Range-point migration-based image expansion method exploiting fully polarimetric data for UWB short-range radar
    Ayumi Yamaryo; Tatsuo Takatori; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers Inc., 56, 4, 2170-2182, 01 Apr. 2018, Peer-reviwed, Ultrawideband radar with high-range resolution is a promising technology for use in short-range 3-D imaging applications, in which optical cameras are not applicable. One of the most efficient 3-D imaging methods is the range-point migration (RPM) method, which has a definite advantage for the synthetic aperture radar approach in terms of computational burden, high accuracy, and high spatial resolution. However, if an insufficient aperture size or angle is provided, these kinds of methods cannot reconstruct the whole target structure due to the absence of reflection signals from large part of target surface. To expand the 3-D image obtained by RPM, this paper proposes an image expansion method by incorporating the RPM feature and fully polarimetric data-based machine learning approach. Following ellipsoid-based scattering analysis and learning with a neural network, this method expresses the target image as an aggregation of parts of ellipsoids, which significantly expands the original image by the RPM method without sacrificing the reconstruction accuracy. The results of numerical simulation based on 3-D finite-difference time-domain analysis verify the effectiveness of our proposed method, in terms of image-expansion criteria.
    Scientific journal, English
    DOI URL
  • Boundary Extraction Enhanced Inverse Scattering Method for Microwave Mammography
    Kanazawa Kazuki; Shouhei Kidera
    Last, 2018 12th European Conference on Antennas and Propagation (EUCAP), x, x, x-x, Apr. 2018, Peer-reviwed
    International conference proceedings, English
  • Waveform Matching Based Real-time Ablation Monitoring for Microwave Breast Cancer Ablation
    Kazuki Noritake; Shouhei Kidera
    Last, 2018 12th European Conference on Antennas and Propagation (EUCAP), x, x, x-x, Apr. 2018, Peer-reviwed
    International conference proceedings, English
  • TDOA-based microwave imaging algorithm for real-time microwave ablation monitoring
    Shouhei Kidera; Luz Maria Neira; Barry D. Van Veen; Susan C. Hagness
    International Journal of Microwave and Wireless Technologies, Cambridge University Press, 10, 2, 169-178, 01 Mar. 2018, Microwave ablation is widely recognized as a promising minimally invasive tool for treating cancer. Real-time monitoring of the dimensions of the ablation zone is indispensable for ensuring an effective and safe treatment. In this paper, we propose a microwave imaging algorithm for monitoring the evolution of the ablation zone. Our proposed algorithm determines the boundary of the ablation zone by exploiting the time difference of arrival (TDOA) between signals received before and during the ablation at external antennas surrounding the tissue, using the interstitial ablation antenna as the transmitter. A significant advantage of this method is that it requires few assumptions about the dielectric properties of the propagation media. Also the simplicity of the signal processing, wherein the TDOA is determined from a cross-correlation calculation, allows real-time monitoring and provides robust performance in the presence of noise. We investigate the performance of this approach for the application of breast tumor ablation. We use simulated array measurements obtained from finite-difference time-domain simulations of magnetic resonance imaging-derived numerical breast phantoms. The results demonstrate that our proposed method offers the potential to achieve millimeter-order accuracy and real-time operation in estimating the boundary of the ablation zone in heterogeneous and dispersive breast tissue.
    International conference proceedings, English
    DOI URL
  • Acceleration for RPM-based three-dimensional imaging for 140 GHz-band millimeter wave radar
    Yoshiki Akiyama; Shouhei Kidera
    Last, 2017 International Symposium on Antennas and Propagation, ISAP 2017, Institute of Electrical and Electronics Engineers Inc., 2017-, 1-2, 19 Dec. 2017, Peer-reviwed, 140 GHz-band millimeter wave radars significantly expands the appilication range of three-dimensional (3-D) imaging sensors, making them suitable for short-range surveillance or watching sensors. The range points migration(RPM) is recently established as promising imaging approach for achieving an accurate and real-Time 3-D imaging. However, in dealing with objects with many scattering points like human body, the RPM suffers from an expensive computational cost. This paper proposes an acceleration of the RPM method, based on the newly designed cost function for multiple small array conflagrations. The results from 140 GHz based numerical data demonstrate that our proposed algorithm remarkably reduces the computational cost without sacrificing its reconstruction accuracy.
    International conference proceedings, English
    DOI URL
  • Super-resolution doppler velocity estimation by Gaussian-kernel based range-doppler conversion for UWB radar
    Masafumi Setsu; Shouhei Kidera
    Last, Progress in Electromagnetics Research Symposium, Electromagnetics Academy, 2017-, x, 1306-1311, 20 Nov. 2017, Peer-reviwed, Through-the-wall imaging (TWI) with ultra-wideband (UWB) radar is promising as the three-dimensional imaging sensor, for detecting human body buried in collapsed walls in rescue scenario. The pulse-Doppler radar is suitable for the above applications, where the Doppler velocity is exploited as human body recognition or motion estimation. Since, in the TWI scenario, the center frequency of the transmitted pulse should be low to maintain an enough penetration depth in a concrete wall, it suffers from an insufficient Doppler frequency resolution in using the Fourier transform based conversion. In addition, the received signal with larger fractional bandwidth could not be overlapped from first and last pulse hit if a long observation time is available, then the Fourier transform based Doppler analysis is not suitable for dealing with the above case. To overcome such difficulty, this paper proposes the Gaussian-kernel based conversion algorithm from extracted range-τ (τ denotes slow time) points to their corresponding Doppler velocities. The finite-difference time-domain (FDTD) based numerical simulation demonstrates that our proposed method simultaneously improves the Doppler velocity resolution and temporal resolution.
    International conference proceedings, English
    DOI URL
  • Permittivity Imaging Method by Incorporating Range Points Migration and Ellipsometry for UWB Short Range Radar
    Tatsuo Takatori; Yong Huang; Takahiro Kudo; Shouhei Kidera
    Last, Progress in Electromagnetics Research Symposium, Electromagnetics Academy, 2017-, x, 1295-1300, 20 Nov. 2017, Peer-reviwed, Ultra-wide band (UWB) pulse radar has a possibility to create an innovative short-range sensing technique, such as for 3-dimensional (3-D) imaging sensor or non-destructive because it has the cm order range resolution and sufficient penetration depth in low lossy dielectric material. In the actual radar scenario, such as human body recognition in rescue scene or crack detection in large scale non-destructive crack monitoring in aged road, road monitoring, it is strongly required for not only an image but also the dielectric property of object. As a promising non-contact extraction for complex permittivity, we focus on the ellipsometry method exploiting the fully polarimetric re ection data. Furthermore, we incorporate the range points migration (RPM) based imaging approach and the ellipsometry, where each reconstructed scattering center can be associated with each complex permittivity extracted from ellipsometry method. This paper also introduces the calibration approach for the re ection ratio coefficient in order to compensate a physical difference from optical based ellipsometry observation model. The three-dimensional (3-D) finite difference time domain (FDTD) based numerical simulations demonstrate that our proposed method effectively unifies the surface image and complex permittivity information with simple algorithm.
    International conference proceedings, English
    DOI URL
  • Surface height change estimation method using band-divided coherence functions with fully polarimetric SAR images
    Ryo Oyama; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE Transactions on Communications, Institute of Electronics, Information and Communication, Engineers, IEICE, E100B, 11, 2087-2093, 01 Nov. 2017, Peer-reviwed, Microwave imaging techniques, in particular, synthetic aperture radar (SAR), are promising tools for terrain surface measurement, irrespective of weather conditions. The coherent change detection (CCD) method is being widely applied to detect surface changes by comparing multiple complex SAR images captured from the same scanning orbit. However, in the case of a general damage assessment after a natural disaster such as an earthquake or mudslide, additional about surface change, such as surface height change, is strongly required. Given this background, the current study proposes a novel height change estimation method using a CCD model based on the Pauli decomposition of fully polarimetric SAR images. The notable feature of this method is that it can offer accurate height change beyond the assumedwavelength, by introducing the frequency band-divided approach, and so is significantly better than InSAR based approaches. Experiments in an anechoic chamber on a 1/100 scaled model of the X-band SAR system, show that our proposed method outputs more accurate height change estimates than a similar method that uses single polarimetric data, even if the height change amount is over the assumed wavelength.
    Scientific journal, English
    DOI URL
  • 超広帯域近距離レーダのための高精度画像化法
    木寺 正平
    Lead, 計測と制御, The Society of Instrument and Control Engineers, 56, 11, 851-857, Nov. 2017, Peer-reviwed
    Scientific journal, Japanese
    DOI URL
  • Accurate Boundary Extraction Method by Range Points Migration for Microwave Non-destructive Monitoring
    Shouhei Kidera; Shuto Takahashi
    Proc. of 2017 Asia-Pacific Conference on Antennas and Propagation (APCAP2017), x, x, x-x, Oct. 2017, Peer-reviwed, Invited
    International conference proceedings, English
  • Acceleration of RPM-based Microwave Imaging for Non-destructive Testing
    Yoshiki Akiyama; Shouhei Kidera
    Last, Proc. of 2017 International Symposium on Antennas and Propagation (ISAP 2017), x, x, x-x, Oct. 2017, Peer-reviwed
    International conference proceedings, English
  • Accurate Breast Surface Imaging Method with FDTD-based Waveform Correction for Microwave Mammography
    Kazuki Noritake; Shouhei Kidera
    Last, Proc. of 2017 International Symposium on Antennas and Propagation (ISAP 2017), x, x, x-x, Oct. 2017, Peer-reviwed
    International conference proceedings, English
  • Boundary Extraction Based Imaging Method by Incorporating FDTD Based Wavefront Analysis for Microwave Mammography
    Shouhei Kidera; Kazuki Noritake
    Proc. of International Conference on Electromagnetics in Advanced Applications (ICEAA 2017), x, x, x-x, Sep. 2017, Peer-reviwed, Invited
    International conference proceedings, English
  • Accurate 3-Dimensional Imaging Method by Multi-Static RPM with Range Point Clustering for Short Range UWB Radar
    Yuta Sasaki; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E100B, 8, 1498-1506, Aug. 2017, Peer-reviwed, Ultra-wideband millimeter wave radars significantly enhance the capabilities of three-dimensional (3D) imaging sensors, making them suitable for short-range surveillance and security purposes. For such applications, developed the range point migration (RPM) method, which achieves highly accurate surface extraction by using a range-point focusing scheme. However, this method is inaccurate and incurs great computation cost for complicated-shape targets with many reflection points, such as the human body. As an essential solution to this problem, we introduce herein a range-point clustering algorithm that exploits, the RPM feature. Results from numerical simulations assuming 140-GHz millimeter wavelength radar verify that the proposed method achieves remarkably accurate 3D imaging without sacrificing computational efficiency.
    Scientific journal, English
    DOI URL
  • TDOA-Based Microwave Imaging Algorithm for Real-Time Monitoring of Microwave Ablation
    Shouhei Kidera; Luz Maria Neira; Barry D. Van Veen; Susan C. Hagness
    Lead, 2017 11TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), IEEE, x, x, 3717-3721, Mar. 2017, Peer-reviwed, Microwave ablation (MWA) is widely recognized as a promising treatment tool for cancer. Real-time monitoring of the dimensions of the ablation zone is indispensable for ensuring an effective and safe treatment. In this paper, we propose a microwave imaging algorithm for monitoring the evolution of the ablation zone. This algorithm estimates the boundary of the ablation zone by exploiting the time difference of arrival (TDOA) between pre-and during-ablation signals received at external antennas surrounding the tissue, using the interstitial ablation antenna as the transmitter. A notable advantage of this method is that it requires few assumptions about the spatial distribution of dielectric properties of the propagation media. Also the simplicity of the signal processing, wherein the TDOA is determined from a cross-correlation calculation, allows real-time monitoring and provides noise-robust estimations. We investigate the performance of this approach using simulated array measurements obtained from FDTD simulations of MRI-derived numerical breast phantoms. The results demonstrate that our proposed method offers the potential to achieve millimeter order accuracy in estimating the boundary of the ablation zone in heterogeneous and dispersive breast tissue.
    International conference proceedings, English
  • Noise-robust Compressed Sensing Method for Super-resolution TOA Estimation
    Masanari Noto; Akira Moro; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE Communication Express, The Institute of Electronics, Information and Communication Engineers, x, x, x-x, Mar. 2017, Peer-reviwed,

    Super-resolution time of arrival estimation methods have attracted much attention in radar signal processing. Many studies have used compressed sensing (CS)-based approaches to attain the super-resolution property because they assume sparseness of the object temporal distribution. However, this approach still suffer from accuracy degradation when decomposing highly correlated signals in heavily noise-contaminated situations. To resolve this problem, this study introduces an enhanced CS method by exploiting the sparseness of both the time and frequency domains of the target signals. Numerical simulation and comparison with results obtained by conventional methods demonstrate that the proposed method considerably enhances the reconstruction accuracy for multiple highly correlated signals in lower signal-to-noise ratio situations.


    Scientific journal, Japanese
    DOI URL
  • Three-Dimensional Imaging Method Incorporating Range Points Migration and Doppler Velocity Estimation for UWB Millimeter-Wave Radar
    Yuta Sasaki; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto; Kenshi Saho; Toru Sato
    Corresponding, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 14, 1, 122-126, Jan. 2017, Peer-reviwed, High-resolution, short-range sensors that can be applied in optically challenging environments (e.g., in the presence of clouds, fog, and/or dark smog) are in high demand. Ultrawideband (UWB) millimeter-wave radars are one of the most promising devices for the above-mentioned applications. For target recognition using sensors, it is necessary to convert observational data into full 3-D images with both time efficiency and high accuracy. For such conversion algorithm, we have already proposed the range points migration (RPM) method. However, in the existence of multiple separated objects, this method suffers from inaccuracy and high computational cost due to dealing with many observed RPs. To address this issue, this letter introduces Doppler-based RPs clustering into the RPM method. The results from numerical simulations, assuming 140-GHz band millimeter radars, show that the addition of Doppler velocity into the RPM method results in more accurate 3-D images with reducing computational costs.
    Scientific journal, English
    DOI URL
  • Accurate Boundary Extraction and Dielectric Constant Estimation Method for UWB Internal Imaging Radar
    Shouhei Kidera
    2016 URSI INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC THEORY (EMTS), IEEE, x, x, 96-99, Nov. 2016, Peer-reviwed, Invited, Microwave ultra-wideband (UWB) radar systems have numerous advantages for high range resolution and an ability to penetrate dielectric objects. Internal imaging of dielectric objects by UWB radar is a promising nondestructive method of testing aging roads and bridges and a noninvasive technique for medical diagnoses or human vital sign detection. We have already developed an original method called as range points migration (RPM), which achieves accurate and high-resolution imaging for target with continuous boundary shape. In this paper, we introduce the novel method for extracting double-layered dielectric object by using RPM or Envelope based approaches, where a dielectric constant of surrounding medium is simultaneously determined. The results obtained from the numerical simulation and experiment assuming concrete objects, demonstrate the effectiveness of our proposed method.
    International conference proceedings, English
  • "Multi-path Exploitation Method Using Doppler Based Signal Recognition for UWB Through-the-wall Radar ",
    Masafumi Setsu; Shouhei Kidera
    Last, International Conference on Space, Aeronautical and Navigation Electronics (ICSANE) 2016, x, x, x-x, Nov. 2016, Peer-reviwed
    International conference proceedings, English
  • Parametric Wind Velocity Vector Estimation Method for Single Doppler LIDAR Model
    Takayuki Masuo; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto; Hiroshi SAKAMAKI; Nobuhiro SUZUKI
    Corresponding, IEICE Trans. Commun.,, The Institute of Electronics, Information and Communication Engineers, E99-C, x, x-x, Oct. 2016, Peer-reviwed,

    Doppler lidar (LIght Detection And Ranging) can provide accurate wind velocity vector estimates by processing the time delay and Doppler spectrum of received signals. This system is essential for real-time wind monitoring to assist aircraft taking off and landing. Considering the difficulty of calibration and cost, a single Doppler lidar model is more attractive and practical than a multiple lidar model. In general, it is impossible to estimate two or three dimensional wind vectors from a single lidar model without any prior information, because lidar directly observes only a 1-dimensional (radial direction) velocity component of wind. Although the conventional VAD (Velocity Azimuth Display) and VVP (Velocity Volume Processing) methods have been developed for single lidar model, both of them are inaccurate in the presence of local air turbulence. This paper proposes an accurate wind velocity estimation method based on a parametric approach using typical turbulence models such as tornado, micro-burst and gust front. The results from numerical simulation demonstrate that the proposed method remarkably enhances the accuracy for wind velocity estimation in the assumed modeled turbulence cases, compared with that obtained by the VAD or other conventional method.


    Scientific journal, English
    DOI URL
  • Edge Preserved Extrapolation Method for Full Polarimetric RPM Imaging with UWB Radars
    Tatsuo Takatori; Shouhei Kidera
    Last, 2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, x, x, 328-329, Oct. 2016, Peer-reviwed, Ultra-wideband (UWB) radar system has a great advantage as short range 3-dimentional(3-D) sensor with high range resolution being suitable, for target recognition in optically blurred situation. As one of the most efficient 3-D imaging approaches, the range point migration(RPM) method has been developed, which specifies target boundary extraction using measured ranges. The RPM method stills suffers from insufficient imaging area along cross-range direction, and this incurs the difficulty for target recognition using the reconstructed 3-D image, which is an essential problem in radar imaging. To tackle with this problem, an ellipsoidal aggregation based image extrapolation method, incorporating full polarimetric datasets and RPM imaging, have been already proposed. While this method retains an accurate extrapolation for smooth surface target, it suffers from inaccuracy for target shape with edge. Thus, this paper introduces an edge preserved algorithm based on eigenvector decomposition for quasi Hessian matrix obtained by RPM image. The results from finite-difference time-domain (FDTD) based simulations demonstrate that our method effectively expands a target image without sacrificing an accuracy around edge area.
    International conference proceedings, English
  • Double-layered Boundary Extraction Using Extended Envelope with Multi-static UWB Radars
    Risako Tanaka; Shouhei Kidera
    Last, 2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, x, x, 478-479, Oct. 2016, Peer-reviwed, Microwave ultra-wide band (UWB) radars with higher range resolution and penetration ability for low lossy medium are promising as non-destructive testing for aging transportation infrastructure or non-invasive internal inspection for human body such as cancer or brain stroke detection. While there are many studies for reconstructing complex permittivity for object based on the solution of domain integral equation, they suffer from extremely high computation cost and inaccuracy around discontinuous boundary due to relying on non-linear and multi-dimensional optimization approach. As another approach alleviating such problem, the boundary extraction based methods such as RPM or Envelope have been developed by incorporating ray tracing based dielectric constant estimation. This paper extends the above method for multi-static observation model, which has a possibility expand the reconstruction area compared with that obtained by mono-static model. The results from numerical simulation show that our extension model considerably enhances an accuracy for double layered boundary extraction, combined by the dielectric constant estimation.
    International conference proceedings, English
  • Accuracy Enhanced Beamforming Method Based on Envelope Surface Extraction for Non-contact UWB Breast Cancer Radar
    Fuki Endo; Shouhei Kidera
    Last, 2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, x, x, 170-171, Oct. 2016, Peer-reviwed, Microwave UWB (Ultra Wideband) radar is promising as a non-invasive medical imaging, such as breast cancer or brain stroke detection due to its non-ionizing feature and deeper penetration ability in low loss medium. While various methods for specifying the breast cancer detection issue, have been developed, most of them require a prerequisite that a shape of breast surface is accurately determined or sensor should be contacted to breast surface. To solve this problem, this paper introduces the surface clutter suppression using the Envelope boundary extraction method and FDTD based signal regeneration. In addition, this method revises an original beam-forming algorithm by compensating the propagation path distorted into breast. The results in numerical simulation show that our proposed method effectively suppresses the surface clutter and
    International conference proceedings, English
  • Accuracy Enhanced RPM Method Using Doppler Based Range Points Clustering for 140GHz Band UWB Radar
    Shouhei Kidera; Yuta Sasaki; Shang Fang; Tetsuo Kirimoto; Kenshi Saho; Toru Sato
    Lead, 2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, x, x, 628-629, Oct. 2016, Peer-reviwed, Invited, 140 GHz ultra-wideband millimeter wave radars significantly expand the capacities of three-dimensional (3-D) imaging sensors, making them suitable for short-range surveillance or security purposes. For such applications, we have already developed the range points migration (RPM) method, which achieves highly accurate 3-D boundary extraction. However, to deal with multiple targets with many reflection points, such as a human body, this method suffers from an inaccuracy and an expensive computational cost. As a solution for such difficulty, this paper introduces a Doppler based range points clustering into the RPM method. Results from numerical simulations assuming 140 GHz millimeter radars show that the proposed method achieves more accurate 3-D image associated with Doppler velocity, without sacrificing computational efficiency.
    International conference proceedings, English
  • Height Estimation Based Image Compensation Method for Layover Distorted CSAR Image
    Taichi Nakamura; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto
    2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, x, x, 324-325, Oct. 2016, Peer-reviwed, Invited, As an advanced operation of synthetic aperture radar (SAR), circular SAR (CSAR) has attracted more and more attentions, because it can achieve higher spatial resolution than conventional linear observation SAR due to considerably larger aperture angle. However, CSAR image is greatly distorted when the target is located away from the central axis position of the circular orbit because of different incident angle from each sub aperture. Such a problem makes it difficult to use the CSAR image for recognition applications. To address with the above problem, this paper presents a layover distortion compensation method for distorted CSAR image by adjusting height of projection planes for each aperture through targets height estimation. The results of simulated and experimental data demonstrate that the proposed method can compensate layover distorted CSAR image in success.
    International conference proceedings, English
  • Acceleration for Wind Velocity Vector Estimation by Neural Network for Single Doppler LIDAR
    Taro Matsuo; Guanghao Sun; Shouhei Kidera; Tetsuo Kirimoto; Hiroshi Sakamaki; Teruyuki Hara
    2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, x, x, 444-445, Oct. 2016, Peer-reviwed, Invited, Doppler Light-Detection-And-Ranging (LIDAR) system is an essential tool for real-time wind monitoring for aircraft taking off and landing. Single LIDAR model is preferable in terms of cost and being free from synchronization problem of multiple LIDARs. There are many studies for single LIDAR based velocity estimation. In specifying the recognition for typical air turbulences, such as tornado, microburst or gust front, the parametric approach has been introduced in our previous research. However, this method suffers from a large computational time due to solving multiple dimensional and non-linear optimization problem by particle swarm optimization (PSO). Aiming at real-time monitoring, this paper introduces neural network based optimization approach to determine the turbulence model. The results from numerical simulation demonstrate that the proposed method considerably reduces the calculation cost without sacrificing an estimation accuracy, compared with that obtained by the former PSO based method.
    International conference proceedings, English
  • Noise Robust Time of Arrival Estimation Method Using Hierarchical Bayesian Based Compressed Sensing Algorithm
    Akira Moro; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto
    2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, x, x, 862-863, Oct. 2016, Peer-reviwed, Invited, A microwave radar system is a useful tool for all-weather type remote sensing, such as terrain surface measurement. It is well known fact that a resolution of time-of-arrival (TOA) is strictly determined by the frequency bandwidth of transmitted signal. As super-resolution technique beyond such limitation, a compressed sensing (CS) algorithm has come under spotlight because a sparse assumption is well established in typical radar situations. However, the original CS method suffers from lower TOA resolution in insufficient SNR level. To address with such problem, this paper introduces a hierarchical Bayesian based CS algorithm. This method introduces the stochastic model derived from cross-correlation response as a priori information for CS reconstruction as hyper-prior distribution. The results of numerical simulation show that the proposed method enhances an accuracy for signal reconstruction, even in lower SNR situations.
    International conference proceedings, English
  • Multiple Arcs Based Image Fixtrapolation Method for Millimeter Wave UWB Radar
    Fang Shang; Shouhei Kidera; Tetsuo Kirimoto
    2016 IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS WIRELESS BROADBAND (ICUWB2016), IEEE, x, x, x-x, Sep. 2016, Peer-reviwed, Range points migration (RPM) method is a successful 3-D imaging algorithm with higher accuracy and less computational cost. Due to the limitation of radar aperture size, usually, the boundary points estimated by RPM method only cover a small portion of target surface. Therefore image extrapolation method is needed for improving the image result of RPM method. The conventional image extrapolation method is established based on ellipsoid fitting. However, such a high freedom optimization problem leads to extremely high computational cost. In order to accelerate the computation, we propose a novel image extrapolation method for based on multiple arcs. In the proposed method, instead of ellipsoids, a group of arcs are estimated to describe the targets. In this way, original 3D problem is degenerated to a 2-D one, which contributes a significant reduction of computational cost. The numerical simulation results show that the proposed method can realize image extrapolation in success with significantly higher accuracy and computational speed.
    International conference proceedings, English
  • Experimental Study on Embedded Object Imaging Method with Range Point Suppression of Creeping Wave for UWB Radars
    Toshiki Manaka; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON ELECTRONICS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E99C, 1, 138-142, Jan. 2016, Peer-reviwed, Ultra-wideband radar exhibits high range resolution, and excellent capability for penetrating dielectric media, especially when using lower frequency microwaves. Thus, it has a great potential for innovative non-destructive testing of aging roads or bridges or for non-invasive medical imaging applications. In this context, we have already proposed an accurate dielectric constant estimation method for a homogeneous dielectric medium, based on a geometrical optics (GO) approximation, where the dielectric boundary points and their normal vectors are directly reproduced using the range point migration (RPM) method. In addition, to compensate for the estimation error incurred by the GO approximation, a waveform compensation scheme employing the finite-difference time domain (FDTD) method was incorporated. This paper shows the experimental validation of this method, where a new approach for suppressing the creeping wave along the dielectric boundary is also introduced. The results from real observation data validate the effectiveness of the proposed method in terms of highly accurate dielectric constant estimation and embedded object boundary reconstruction.
    Scientific journal, English
    DOI URL
  • Dielectric Constant and Boundary Extraction Method for Double-Layered Dielectric Object for UWB Radars
    Takuya Niimi; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON ELECTRONICS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E98C, 12, 1134-1142, Dec. 2015, Peer-reviwed, Microwave ultra-wideband (UWB) radar systems are advantageous for their high-range resolution and ability to penetrate dielectric objects. Internal imaging of dielectric objects by UWB radar is a promising nondestructive method of testing aging roads and bridges and a noninvasive technique for human body examination. For these applications, we have already developed an accurate internal imaging approach based on the range points migration (RPM) method, combined with a method that efficiently estimates the dielectric constant. Although this approach accurately extracts the internal boundary, it is applicable only to highly conductive targets immersed in homogeneous dielectric media. It is not suitable for multi-layered dielectric structures such as human tissues or concrete objects. To remedy this limitation, we here propose a novel dielectric constant and boundary extractionmethod for double-layered materials. This new approach, which simply extends the Envelope method to boundary extraction of the inner layer, is evaluated in finite difference time domain (FDTD)-based simulations and laboratory experiments, assuming a double-layered concrete cylinder. These tests demonstrate that our proposed method accurately and simultaneously estimates the dielectric constants of both media and the layer boundaries.
    Scientific journal, English
    DOI URL
  • Supervised SOM Based ATR Method with Circular Polarization Basis of Full Polarimetric Data
    Shouhei Ohno; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E98B, 12, 2520-2527, Dec. 2015, Peer-reviwed, Satellite-borne or aircraft-borne synthetic aperture radar (SAR) is useful for high resolution imaging analysis for terrain surface monitoring or surveillance, particularly in optically harsh environments. For surveillance application, there are various approaches for automatic target recognition (ATR) of SAR images aiming at monitoring unidentified ships or aircraft. In addition, various types of analyses for full polarimetric data have been developed recently because it can provide significant information to identify structure of targets, such as vegetation, urban, sea surface areas. ATR generally consists of two processes, one is target feature extraction including target area determination, and the other is classification. In this paper, we propose novel methods for these two processes that suit full polarimetric exploitation. As the target area extraction method, we introduce a peak signal-to noise ratio (PSNR) based synthesis with full polarimetric SAR images. As the classification method, the circular polarization basis conversion is adopted to improve the robustness especially to variation of target rotation angles. Experiments on a 1/100 scale model of X-band SAR, demonstrate that our proposed method significantly improves the accuracy of target area extraction and classification, even in noisy or target rotating situations.
    Scientific journal, English
    DOI URL
  • "Parametric Wind Velocity Vector Estimation Method for Single Doppler LIDAR Model",
    Takayuki Masuo; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto; Hiroshi Sakamaki; Nobuhiro Suzuki
    International Conference on Space, Aeronautical and Navigation Electronics (ICSANE) 2015, The Institute of Electronics, Information and Communication Engineers, x, x, x-x, 22 Nov. 2015, Peer-reviwed,

    Doppler lidar (LIght Detection And Ranging) can provide accurate wind velocity vector estimates by processing the time delay and Doppler spectrum of received signals. This system is essential for real-time wind monitoring to assist aircraft taking off and landing. Considering the difficulty of calibration and cost, a single Doppler lidar model is more attractive and practical than a multiple lidar model. In general, it is impossible to estimate two or three dimensional wind vectors from a single lidar model without any prior information, because lidar directly observes only a 1-dimensional (radial direction) velocity component of wind. Although the conventional VAD (Velocity Azimuth Display) and VVP (Velocity Volume Processing) methods have been developed for single lidar model, both of them are inaccurate in the presence of local air turbulence. This paper proposes an accurate wind velocity estimation method based on a parametric approach using typical turbulence models such as tornado, micro-burst and gust front. The results from numerical simulation demonstrate that the proposed method remarkably enhances the accuracy for wind velocity estimation in the assumed modeled turbulence cases, compared with that obtained by the VAD or other conventional method.


    International conference proceedings, English
    DOI URL
  • "Ellipsoid fitting based imaging extrapolation algorithm for 140GHz-band multistatic radar ",
    Fang Shang; Shouhei Kidera; Tetsuo Kirimoto
    International Conference on Space, Aeronautical and Navigation Electronics (ICSANE) 2015, x, x, x-x, 22 Nov. 2015, Peer-reviwed
    International conference proceedings, English
  • "Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing ",
    Masanari Noto; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto
    International Conference on Space, Aeronautical and Navigation Electronics (ICSANE) 2015, x, x, x-x, 22 Nov. 2015, Peer-reviwed
    International conference proceedings, English
  • "Accurate 3-dimensional Imaging Method by Iterative Multi-static RPM with Range Points Clustering for 140 GHz UWB Radar ",
    Yuta Sasaki; Fang Shang; Shouhei Kidera; Tetsuo Kirimoto
    International Conference on Space, Aeronautical and Navigation Electronics (ICSANE) 2015, x, x, x-x, 22 Nov. 2015, Peer-reviwed
    International conference proceedings, English
  • High-Resolution Time of Arrival Estimation Method for Synthetic Band Chirp-Signals using Compressed Sensing
    Akira Moro; Shouhei Kidera; Tetsuo Kirimoto
    2015 12TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), IEEE, Sep. 2015, Peer-reviwed, A microwave radar system is a useful tool for terrain surface measurement even in adverse weather or darkness. Most important specification of a radar system is range resolution, which is strictly determined by the frequency bandwidth of transmitted signal. However, due to the legal regulation of radio wave emission, its frequency band is strictly limited. In the case that the maximum and minimum frequencies of the signal are fixed, the normal range resolution is same, but there is a severe problem of TOA ambiguity, when the effective bandwidth is considerably lower. To solve this problem, we introduce the compressed sensing (CS) approach. The results from numerical simulation show that our method can suppress the TOA ambiguity even that actual bandwidth of transmitted signal is quite narrower.
    International conference proceedings, English
  • Accurate Coherent Change Detection Method Based on Pauli Decomposition for Fully Polarimetric SAR Imagery
    Ryo Oyama; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E98B, 7, 1390-1395, Jul. 2015, Peer-reviwed, Microwave imaging techniques, particularly for synthetic aperture radar (SAR), produce high-resolution terrain surface images regardless of the weather conditions. Focusing on a feature of complex SAR images, coherent change detection (CCD) approaches have been developed in recent decades that can detect invisible changes in the same regions by applying phase interferometry to pairs of complex SAR images. On the other hand, various techniques of polarimetric SAR (PolSAR) image analysis have been developed, since fully polarimetric data often include valuable information that cannot be obtained from single polarimetric observations. According to this background, various coherent change detection methods based on fully polarimetric data have been proposed. However, the detection accuracies of these methods often degrade in low signal-to-noise ratio (SNR) situations due to the lower signal levels of cross-polarized components compared with those of co-polarized ones. To overcome the problem mentioned above, this paper proposes a novel CCD method by introducing the Pauli decomposition and the weighting of component with their respective SNR. The experimental data obtained in anechoic chamber show that the proposed method significantly enhances the performance of the receiver operation characteristic (ROC) compared with that obtained by a conventional approach.
    Scientific journal, English
    DOI URL
  • ELLIPSE BASED IMAGE EXTRAPOLATION METHOD WITH RPM IMAGING FOR THROUGH-THE-WALL UWB RADAR
    Shouhei Kidera; Cheng Gao; Takaya Taniguchi; Tetsuo Kirimoto
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, 2015, 385-388, Jul. 2015, Peer-reviwed, Through-the-wall radar (TWR) technique with UWB (ultra wide-band) signals are promising candidates for non-destructive testing or reliable human detection buried under collapsed walls in disaster scenes. As an efficient 3-dimensional imaging approach, the range points migration (RPM) method has been established, which can transcend the performance limitation of the conventional delay-and-sum approaches, in terms of computational burden, accuracy and spatial resolution. This paper extends the RPM method to the TWR imaging model, called as TW-RPM, where the principle of the original RPM is appropriately extended to this model by considering the propagation path and delay in wall. In addition, this paper introduces the image expansion scheme, based on ellipse fitting approach. As a notable point, this fitting process is not carried out in real space but in data space, which is spanned by range points (a set of antenna location and range) to avoid the extrapolating error due to TW-RPM imaging process. The FDTD (finite time domain difference) based numerical simulation shows that our proposed method accurately expands the TW-RPM image even in narrower aperture case.
    International conference proceedings, English
  • AUTOMATIC TARGET RECOGNITION METHOD BASED ON POLSAR IMAGES WITH CIRCULAR POLARIMETRIC BASIS CONVERSION
    Shouhei Ohno; Shouhei Kidera; Tetsuo Kirimoto
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, 2015, 3243-3246, Jul. 2015, Peer-reviwed, Satellite-borne or aircraft-borne synthetic aperture radar (SAR) technique is useful for high resolution imaging analysis for terrain surface monitoring or surveillance, even in optically harsh environment. For surveillance application, there are various approaches for automatic target recognition (ATR) of SAR images aiming at monitoring unidentified ships or aircrafts. In addition, various types of analyses using full polarimetric data have been developed recently because it can provide significant information to identify structure of targets, such as vegetation, urban, sea surface areas. In this paper, the circular polarization basis conversion is adopted to improve the robustness especially to variation of target rotation angles. The experimental data, assuming the 1/100 scale model of X-band radar, demonstrate that our proposed method significantly improves an accuracy of target area extraction and classification, even in noisy or angular fluctuated situations.
    International conference proceedings, English
  • Super-resolution and Accurate 3-dimensional Imaging Method by Combining EM Computational Analysis in Short Range UWB Radar
    Shouhei Kidera
    2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC), IEEE, 2015, Mar. 2015, Peer-reviwed, Invited
    International conference proceedings, English
  • High-speed and Accurate Dielectric Constant Estimation Method Using RPM Boundary Extraction and FDTD Based Analysis
    Shouhei Kidera; Yoshihiro Niwa; Tetsuo Kirimoto
    2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC), IEEE, 2015, Mar. 2015, Peer-reviwed
    International conference proceedings, English
  • Experimental Study on Dielectric Constant and Boundary Estimation Method for Double-layered Dielectric Object for UWB Radars
    Takuya Niimi; Shouhei Kidera; Tetsuo Kirimoto
    2015 IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS WIRELESS BROADBAND (ICUWB), IEEE, x, x, x-x, 2015, Peer-reviwed, A microwave ultra-wideband (UWB) radar system has an advantage for high range resolution and penetrating ability in dielectric object, and is promising for the applications, such as non-destructive testing for aging road or bridge and noninvasive human body inspection. We have already developed an accurate internal imaging approach based on the range points migration (RPM) method, combined with the efficient dielectric constant estimation method. However, the former method is applicable to only the situation that high conductive target is buried into a homogeneous dielectric medium, and is not suitable for the case of multi-layered dielectric structure, such as human body or layered concrete object. As a simple expansion aiming at multi-layered dielectric object, this paper proposes a novel dielectric constant and boundary extraction method for a double-layered case, where the exiting Envelope method is appropriately extended to boundary extraction of the inner layer. The results from finite-difference time-domain (FDTD) based numerical simulation and experiment, demonstrate the effectiveness of our proposed method.
    International conference proceedings, English
  • 3-dimensional Image Expansion Method by Incorporating RPM Imaging and Full Polarimetric Data for UWB Short Range Radar
    Ayumi Yamaryo; Shouhei Kidera; Tetsuo Kirimoto
    2015 IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS WIRELESS BROADBAND (ICUWB), IEEE, x, x, x-x, 2015, Peer-reviwed, Ultra wideband (UWB) radar with high range resolution is promising for short-range 3-dimensional (3-D) imaging applications, such as a sensor for rescue robot in disaster scene. We have already proposed the efficient 3-D imaging methods as range point migration (RPM) method, which has a definitive advantage for SAR or time-reversal approaches, in terms of computational burden, high accuracy and high spatial resolution. However, if the aperture size is insufficient, this method cannot image the whole target structure. Conversely, useful information about the target structure can be extracted from the full polarimetric data. Therefore, this paper proposes a novel method that expands reconstructed RPM images by exploiting the full polarimetric data. This method introduces the ellipsoid-based scattering analysis and estimation, and significantly expands the original image by the RPM method by an aggregation of parts of ellipsoids. The results of numerical simulation based on 3-D finite difference time domain (FDTD) analysis verify the effectiveness of our proposed method.
    International conference proceedings, English
  • Accurate 3-D Imaging Method Based on Range Points Migration for 140GHz-band Radar
    Yuta Sasaki; Shouhei Kidera; Tetsuo Kirimoto
    2015 IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS WIRELESS BROADBAND (ICUWB), IEEE, x, x, x-x, 2015, Peer-reviwed, Ultra-wideband (UWB) millimeter wave radar has a great advantage for achieving higher spatial resolution and is promising for collision avoidance or target recognition in short range sensing issue. In this paper, we focus on the 140-GHz band radar system, which has a significant advantage for wider frequency range and more compact radar module. For such application, we have originally developed an accurate and high-speed imaging method named as range points migration (RPM), which is based on a 3-D target boundary extraction scheme. This paper introduces the existing RPM radar to achieve fast data acquisition with multiple receivers. To enhance a computational cost and accuracy, we newly introduce the pre- and post-processing algorithms for the original multi-static RPM method, as range points selection and isolated points elimination. Results from numerical simulations assuming 140 GHz radar system, demonstrate that the proposed method accomplishes more efficient 3-D imaging compared with that obtained by the original RPM method.
    International conference proceedings, English
  • Double-Layered Boundary Extraction Method with Accurate Dielectric Constant Estimation for UWB Internal Imaging Radar
    Shouhei Kidera
    2015 IEEE CONFERENCE ON ANTENNA MEASUREMENTS & APPLICATIONS (CAMA), IEEE, x, x, x-x, 2015, Peer-reviwed, Invited, A microwave ultra-wideband (UWB) radar system has an advantage for high range resolution and penetrating ability in dielectric object, and is promising for the applications, such as non-destructive testing for aging road or bridge and non-invasive human body inspection. We have already developed an accurate and high-resolution target boundary extraction method as range points migration (RPM) method, which are the advanced algorithm of spatial domain interferometer being applicable to non-point wise target shape. In this paper, we introduce the novel method for extracting double-layered dielectric object by using RPM based approach, where a dielectric constant of surrounding medium is simultaneously determined. The results obtained from the experiment assuming concrete objects, demonstrate the effectiveness of our proposed method.
    International conference proceedings, English
  • SURFACE HEIGHT CHANGE ESTIMATION METHOD USING BAND-DIVIDED COHERENCE FUNCTION WITH FULL POLARIMETRIC SAR IMAGES
    Ryo Oyama; Shouhei Kidera; Tetsuo Kirimoto
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, Vol.E100-B,, 11, 2963-2966, 2015, Peer-reviwed, Synthetic aperture radar (SAR) is one of the most powerful tools for microwave imaging issue, being applicable to terrain surface measurement regardless of the weather conditions. Recently, the coherent change detection (CCD) method has been widely developed aiming at surface change detection by comparing the plural complex SAR images with the same scanning orbit. However, in the case of a general damage assessment by an earthquake or a mudslide, it requires not only a change detection but also a height change quantity of changed surface. To address with this issue, this paper proposes a novel height change estimation method with a CCD model based on the Pauli decomposition of fully polarimetric band-divided SAR images. The experimental results, assuming the 1/100 scale down model of the X-band SAR system in anechoic chamber, show that the proposed method achieves more accurate height change estimation, compared with those obtained by the method using single polarimetric data.
    International conference proceedings, English
  • 3-Dimensional Imaging and Motion Estimation Method of Multiple Moving Targets for Multi-Static UWB Radar Using Target Point and Its Normal Vector
    Ryo Yamaguchi; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E97B, 12, 2819-2829, Dec. 2014, Peer-reviwed, Radar systems using ultra-wideband (UWB) signals have definitive advantages in high range resolution. These are suitable for accurate 3-dimensional (3-D) sensing by rescue robots operating in disaster zone settings, where optical sensing is not applicable because of thick smog or high-density gas. For such applications, where no a priori information of target shape and position is given, an accurate method for 3-D imaging and motion estimation is strongly required for effective target recognition. In addressing this issue, we have already proposed a non-parametric 2-dimensional (2-D) imaging method for a target with arbitrary target shape and motion including rotation and translation being tracked using a multi-static radar system. This is based on matching target boundary points obtained using the range points migration (RPM) method extended to the multi-static radar system. Whereas this method accomplishes accurate imaging and motion estimation for single targets, accuracy is degraded severely for multiple targets, due to interference effects. For a solution of this difficulty, this paper proposes a method based on a novel matching scheme using not only target points but also normal vectors on the target boundary estimated by the Envelope method; interference effects are effectively suppressed when incorporating the RPM approach. Results from numerical simulations for both 2-D and 3-D models show that the proposed method simultaneously achieves accurate target imaging and motion tracking, even for multiple moving targets.
    Scientific journal, English
    DOI URL
  • Efficient SOM-Based ATR Method for SAR Imagery With Azimuth Angular Variations
    Shouhei Ohno; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 11, 11, 1901-1905, Nov. 2014, Peer-reviwed, The microwave imaging technique, especially for synthetic aperture radar (SAR), has significant advantages in providing high-resolution complex target images, even in darkness or adverse weather conditions. Nevertheless, it is still difficult for human operators to identify targets on SAR images because they are generated using radio signals with wavelengths at the order of cm. To deal with this, various approaches for efficient automatic target recognition (ATR), based on neural networks or support vector machines (SVM), have been developed. Previously we proposed a promising ATR method using a supervised self-organizing map (SOM), where a binarized SAR image is accurately classified by exploiting the unified distance matrix (U-matrix) metric. Although this method enhances ATR performance considerably, even with SAR images heavily contaminated by random noise, the calculation burden is enormous under expansions of scale and then cannot maintain the ATR performance, especially in cases with azimuth angle variations. In this letter, we propose a constrained learning scheme for generating the SOM and introduce the A-star algorithm to handle SOM scale expansion. Experimental investigations demonstrate the effectiveness of our proposed method.
    Scientific journal, English
    DOI URL
  • Novel Feature Extraction Method of Full Polarimetric SAR imagery for Automatic Target Recognition
    Shouhei Ohno; Shouhei Kidera; Tetsuo Kirimoto
    International Conference on Space, Aeronautical and Navigation Electronics (ICSANE) 2014, x, x, x-x, Oct. 2014, Peer-reviwed
    International conference proceedings, English
  • 3-dimensional imaging method exploiting full polarimetric data for UWB short range radar
    Ayumi Yamaryo; Shouhei Kidera; Tetsuo Kirimoto
    International Conference on Space, Aeronautical and Navigation Electronics (ICSANE) 2014, x, x, x-x, Oct. 2014, Peer-reviwed
    International conference proceedings, English
  • Accurate Wind Velocity Estimation Method with Single Doppler LIDAR Model
    Takayuki Masuo; Shouhei Kidera; Tetsuo Kirimoto; Hiroshi SAKAMAKI; Nobuhiro SUZUKI
    International Conference on Space, Aeronautical and Navigation Electronics (ICSANE) 2014, x, x, x-x, Oct. 2014, Peer-reviwed
    International conference proceedings, English
  • Experimental Study on Permittivity Estimation Method for UWB Internal Imaging Radar
    Toshiki Manaka; Shouhei Kidera; Tetsuo Kirimoto
    2014 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, x, x, 153-154, Oct. 2014, Peer-reviwed, Ultra-wideband (UWB) radar, with high range resolution and ability of penetrating dielectric media, has a great potential for innovative non-destructive testing for aging roads or bridges or non-invasive medical imaging. We have already proposed an accurate permittivity estimation method for a homogeneous dielectric object based on the geometrical optics (GO) approximation, where dielectric boundary points and their normal vectors are directly reproduced by the range point migration (RPM) method. In addition, the finite-difference time domain (FDTD) based waveform reconstruction method was incorporated to compensate for errors incurred by the GO approximation. This paper shows the experimental investigation of this method, where the new approach for suppressing the creeping wave along dielectric boundary is introduced. The results from real observation data validate its effectiveness, in terms of highly accurate permittivity estimation and buried object boundary reconstruction.
    International conference proceedings, English
  • Accurate Permittivity Estimation Method for Double-layered Dielectric Object for UWB Radars
    Takuya Niimi; Shouhei Kidera; Tetsuo Kirimoto
    2014 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), IEEE, x, x, 95-96, Oct. 2014, Peer-reviwed, A microwave ultra-wideband (UWB) radar system is one of the most promising technologies for the internal imaging of dielectric objects in applications such as non-invasive inspection and non-destructive measurement. For such applications, we have already proposed an efficient method of estimating permittivity employing a geometrical optics (GO) approximation and exploiting dielectric outer boundary points and their normal vector accurately obtained with the range points migration (RPM) method. However, this method assumes that there is a highly lossy object buried in a single-layered homogeneous dielectric medium. This paper proposes an accurate permittivity estimation method for a double layered dielectric medium that employs the RPM or Envelope method extended to boundary extraction for each dielectric layer, and an estimation of time delay based on a geometrical optics approximation. The results from finite-difference time-domain (FDTD) based simulations demonstrate that our method accurately estimates permittivity and the boundary of the two layers simultaneously.
    International conference proceedings, English
  • Accurate Target Extrapolation Method Exploiting Double Scattered Range Points for UWB radar
    Ayumi Yamaryo; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON ELECTRONICS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E97C, 8, 828-832, Aug. 2014, Peer-reviwed, Ultra-wide band (UWB) radar has a great advantage for range resolution, and is suitable for 3-dimensional (3-D) imaging sensor, such as for rescue robots or surveillance systems, where an accurate 3-dimensional measurement, impervious to optical environments, is indispensable. However, in indoor sensing situations, an available aperture size is severely limited by obstacles such as collapsed furniture or rubles. Thus, an estimated region of target image often becomes too small to identify whether it is a human body or other object. To address this issue, we previously proposed the image expansion method based on the ellipse extrapolation, where the fitting space is converted from real space to data space defined by range points to enhance the extrapolation accuracy. Although this method achieves an accurate image expansion for some cases, by exploiting the feature of the efficient imaging method as range points migration (RPM), there are still many cases, where it cannot maintain sufficient extrapolation accuracy because it only employs the single scattered component for imaging. For more accurate extrapolation, this paper extends the above image expansion method by exploiting double-scattered signals between the target and the wall in an indoor environment. The results from numerical simulation validate that the proposed method significantly expands the extrapolated region for multiple elliptical objects, compared with that obtained using only single scattered signal.
    Scientific journal, English
    DOI URL
  • Target Detection Algorithm using Independent Component Analysis for Pulse Doppler Radar
    Shuri Kondo; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE Communication Express, vol.3, no.7, 211-216, 01 Jul. 2014, Peer-reviwed
    Scientific journal, English
    DOI URL
  • Accurate height change estimation method using phase interferometry of multiple band-divided SAR images
    Ryo Nakamata; Ryo Oyama; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE Transactions on Communications, Institute of Electronics, Information and Communication, Engineers, IEICE, E97-B, 6, 1205-1214, Jun. 2014, Synthetic aperture radar (SAR) is an indispensable tool for low visibility ground surface measurement owing to its robustness against optically harsh environments such as adverse weather or darkness. As a leading-edge approach for SAR image processing, the coherent change detection (CCD) technique has been recently established
    it detects a temporal change in the same region according to the phase interferometry of two complex SAR images. However, in the case of general damage assessment following an earthquake or mudslide, the technique requires not only the detection of surface change but also an assessment for height change quantity, such as occurs with a building collapse or road subsidence. While the interferometric SAR (InSAR) approach is suitable for height assessment, it is basically unable to detect change if only a single observation is made. To address this issue, we previously proposed a method of estimating height change according to phase interferometry of the coherence function obtained by dual band-divided SAR images. However, the accuracy of this method significantly degrades in noisy situations owing to the use of the phase difference. To resolve this problem, this paper proposes a novel height estimation method by exploiting the frequency characteristic of coherence phases obtained by each SAR image multiply band-divided. The results obtained from numerical simulations and experimental data demonstrate that our proposed method offers accurate height change estimation while avoiding degradation in the spatial resolution. Copyright © 2014 The Institute of Electronics, Information and Communication Engineers.
    Scientific journal, English
    DOI URL
  • Accurate Height Change Estimation Method Using Phase Interferometry of Multiple Band-Divided SAR Images
    Ryo Nakamata; Ryo Oyama; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E97B, 6, 1205-1214, Jun. 2014, Peer-reviwed, Synthetic aperture radar (SAR) is an indispensable tool for low visibility ground surface measurement owing to its robustness against optically harsh environments such as adverse weather or darkness. As a leading-edge approach for SAR image processing, the coherent change detection (CCD) technique has been recently established; it detects a temporal change in the same region according to the phase interferometry of two complex SAR images. However, in the case of general damage assessment following an earthquake or mudslide, the technique requires not only the detection of surface change but also an assessment for height change quantity, such as occurs with a building collapse or road subsidence. While the interferometric SAR (InSAR) approach is suitable for height assessment, it is basically unable to detect change if only a single observation is made. To address this issue, we previously proposed a method of estimating height change according to phase interferometry of the coherence function obtained by dual band-divided SAR images. However, the accuracy of this method significantly degrades in noisy situations owing to the use of the phase difference. To resolve this problem, this paper proposes a novel height estimation method by exploiting the frequency characteristic of coherence phases obtained by each SAR image multiply band-divided. The results obtained from numerical simulations and experimental data demonstrate that our proposed method offers accurate height change estimation while avoiding degradation in the spatial resolution.
    Scientific journal, English
    DOI URL
  • Accurate Permittivity Estimation Method for 3-Dimensional Dielectric Object with FDTD-Based Waveform Correction
    Ryunosuke Souma; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON ELECTRONICS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E97C, 2, 123-127, Feb. 2014, Peer-reviwed, Ultra-wideband pulse radar exhibits high range resolution, and excellent capability in penetrating dielectric media. With that, it has great potential as an innovative non-destructive inspection technique for objects such as human body or concrete walls. For suitability in such applications, we have already proposed an accurate permittivity estimation method for a 2-dimensional dielectric object of arbitrarily shape and clear boundary. In this method, the propagation path estimation inside the dielectric object is calculated, based on the geometrical optics (GO) approximation, where the dielectric boundary points and its normal vectors are directly reproduced by the range point migration (RPM) method. In addition, to compensate for the estimation error incurred using the GO approximation, a waveform compensation scheme employing the finite-difference time domain (FDTD) method was incorporated, where an initial guess of the relative permittivity and dielectric boundary are employed for data regeneration. This study introduces the 3-dimensional extension of the above permittivity estimation method, aimed at practical uses, where only the transmissive data are effectively extracted, based on quantitative criteria that considers the spatial relationship between antenna locations and the dielectric object position. Results from a numerical simulation verify that our proposed method accomplishes accurate permittivity estimations even for 3-dimensional dielectric medium of wavelength size.
    Scientific journal, English
    DOI URL
  • A Robust Signal Recognition Method for Communication System under Time-Varying SNR Environment
    Jing-Chao li; Yi-Bing Li; Shouhei Kidera; Tetsuo Kirimoto
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E96D, 12, 2814-2819, Dec. 2013, Peer-reviwed, As a consequence of recent developments in communications, the parameters of communication signals, such as the modulation parameter values, are becoming unstable because of time-varying SNR under electromagnetic conditions. In general, it is difficult to classify target signals that have time-varying parameters using traditional signal recognition methods. To overcome this problem, this study proposes a novel recognition method that works well even for such time-dependent communication signals. This method is mainly composed of feature extraction and classification processes. In the feature extraction stage, we adopt Shannon entropy and index entropy to obtain the stable features of modulated signals. In the classification stage, the interval gray relation theory is employed as suitable for signals with time-varying parameter spaces. The advantage of our method is that it can deal with time-varying SNR situations, which cannot be handled by existing methods. The results from numerical simulation show that the proposed feature extraction algorithm, based on entropy characteristics in time-varying SNR situations,offers accurate clustering performance, and the classifier, based on interval gray relation theory, can achieve a recognition rate of up to 82.9%, even when the SNR varies from -10 to -6 dB.
    Scientific journal, English
    DOI URL
  • Target Detection Algorithm using Independent Component Analysis for Pulse Doppler Rada
    Shuri Kondo; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Conference on Space, Aeronautical and Navigation Electronics 2013, x, x, x, Dec. 2013
    International conference proceedings, English
  • Accurate coherent change detection method using full polarimetric SAR imagery
    Ryo Oyama; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Conference on Space, Aeronautical and Navigation Electronics 2013, x, x, x, Dec. 2013, Peer-reviwed
    International conference proceedings, English
  • Efficient Automatic Target Recognition Method for aircraft SAR Image Using Supervised SOM Clustering
    Shouhei Ohno; Shouhei Kidera; Tetsuo Kirimoto
    CONFERENCE PROCEEDINGS OF 2013 ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), IEEE, 601-604, Nov. 2013, Peer-reviwed, Synthetic aperture radar (SAR) has significant advantages in providing high resolution target images, even in darkness or adverse weather. Nevertheless, human operators find target images difficult to recognize because SAR images are generated using complex-valued radio signals of around 1.0-m wavelength. To address this issue, various automatic target recognition (ATR) approaches have been developed, such as those based on neural network or SVM(Support Vector Machine). Moreover, we have already proposed the efficient ATR method using a supervised self-organizing map (SOM), where a binarized SAR image is accurately classified by exploiting the unified distance matrix (Umatrix) metric. Although this method significantly enhances the ATR performance even with heavily contaminated SAR images, it still has a significant problem requiring enormous calculational demands under expansions of scale and thus cannot handle the ATR issue using more training data. As a solution for this problem, this paper employs the A-star algorithm to accelerate the classification speed, and then newly introduces the constrained learning process in generating SOM, which enhances the robustness to the angular variation in targets. Experimental results validate the effectiveness of our proposed method.
    International conference proceedings, English
  • Accurate Permittivity Estimation Method for 3-dimensional Dielectric Object with Iterative Correction of Waveform Deformation
    Ryunosuke Souma; Shouhei Kidera; Tetsuo Kirimoto
    CONFERENCE PROCEEDINGS OF 2013 ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), IEEE, X, x, 67-70, Nov. 2013, Peer-reviwed, Ultra-wideband pulse radar exhibits high range resolution and excellent capability in penetrating dielectric media. With that, it has great potential as an innovative non-destructive inspection technique for objects such as human body or concrete walls. For suitability in such applications, we have already proposed an accurate permittivity estimation method for a 2-dimensional dielectric object of arbitrarily shape and clear boundary. In this method, the propagation path estimation inside the dielectric object is calculated based on the geometrical optics (GO) approximation, where the dielectric boundary points and its normal vectors are directly reproduced by the range point migration (RPM) method. In addition, to compensate the estimation error incurred using the GO approximation, a waveform compensation scheme employing the finite-difference time domain (FDTD) method was incorporated, where an initial guess of the relative permittivity and dielectric boundary are employed for data regeneration. This paper introduces the 3-dimensional extension of the above method, aimed at practical uses, where only the transmissive data are effectively extracted based on quantitative criteria that considers the spatial relationship between antenna locations and the dielectric object position. Results from a numerical simulation verify that our proposed method accomplishes accurate permittivity estimations even for 3-dimensional dielectric medium of wavelength size.
    International conference proceedings, English
  • Extended Imaging Method Using Range-Points-Based Ellipse Extrapolation with Double-Scattered Waves for UWB radar
    Ayumi Yamaryo; Shouhei Kidera; Tetsuo Kirimoto
    CONFERENCE PROCEEDINGS OF 2013 ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), IEEE, X, X, 71-74, Nov. 2013, Ultra-wide band pulse radar has a higher range resolution. It is promising as a near field sensor for rescue robots or security systems, where an accurate 3-dimensional measurement impervious to optical environments is indispensable. However, in typical indoor sensing situations, aperture size is severely limited by obstacles such as collapsed furniture. The available radar image is then too narrow to identify a target, whether a human body or other objects. To avoid this difficulty, we previously proposed the image expansion method based on the ellipse extrapolation, where the fitting space is converted from real space to data space defined by range points to enhance the extrapolation accuracy. Although this method achieves an accurate image expansion in some cases, by exploiting the feature of the efficient imaging method as range points migration, there are still many cases where it cannot maintain sufficient extrapolation accuracy because it only employs the single scattered component for imaging. To address the above issue, this paper extends the above image expansion method by exploiting double-scattered signals between target and wall of indoor environments. The results from numerical simulation, including noise, exemplify that the proposed method significantly expands the extrapolated region for multiple elliptical objects.
    International conference proceedings, English
  • Efficient Automatic Target Recognition Method for SAR Image Using Supervised SOM Based Classification
    Shouhei Oono; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of 2013 Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), x, x, x, Sep. 2013
    International conference proceedings, English
  • Accurate Imaging Method for Moving Target with Arbitrary Shape for Multi-Static UWB Radar
    Ryo Yamaguchi; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E96B, 7, 2014-2023, Jul. 2013, Peer-reviwed, Ultra-wideband pulse radar is a promising technology for the imaging sensors of rescue robots operating in disaster scenarios, where optical sensors are not applicable because of thick smog or high-density gas. For the above application, while one promising ultra-wideband radar imaging algorithm for a target with arbitrary motion has already been proposed with a compact observation model; it is based on an ellipsoidal approximation of the target boundary, and is difficult to apply to complex target shapes. To tackle the above problem, this paper proposes a non-parametric and robust imaging algorithm for a target with arbitrary motion including rotation and translation being observed by multi-static radar, which is based on the matching of target boundary points obtained by the range points migration (RPM) algorithm extended to the multi-static radar model. To enhance the imaging accuracy in situations having lower signal-to-noise ratios, the proposed method also adopts an integration scheme for the obtained range points, the antenna location part of which is correctly compensated for the estimated target motion. Results from numerical simulations show that the proposed method accurately extracts the surface of a moving target, and estimates the motion of the target, without any target or motion model.
    Scientific journal, English
    DOI URL
  • EXPERIMENTAL STUDY ON ACCURATE HEIGHT CHANGE ESTIMATION METHOD BASED ON PHASE INTERFEROMETRY OF BAND-DIVIDED SAR IMAGES
    Ryo Nakamata; Shouhei Kidera; Tetsuo Kirimoto
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, x, x, 620-623, Jul. 2013, Peer-reviwed, Synthetic aperture radar ( SAR) is an indispensable tool for low visibility ground surface measurement such as in the case of adverse weather or darkness. In recent years, the coherent change detection (CCD) technique has been recently established, which detect a temporal change in the same region according to the phase interferometry of two complex SAR images. However, in the case of general damage assessment following an earthquake or mudslide, the technique requires a height change quantity of the changed surface, such as for a building collapse or road subsidence. To address this issue, this paper proposes a novel height estimation method by exploiting the frequency characteristic of coherence phases obtained using each multiple divided SAR image. The results obtained from experimental data demonstrate that our proposed method offers accurate height change estimation while avoiding degradation of spatial resolution.
    International conference proceedings, English
    DOI URL
  • Accurate Permittivity Estimation Method with Iterative Waveform Correction for UWB Internal Imaging Radar
    Ryunosuke Souma; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON ELECTRONICS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E96C, 5, 730-737, May 2013, Ultra-wideband (UWB) pulse radar has high range resolution and permeability in a dielectric medium, and has great potential for the non-destructive inspection or early-stage detection of breast cancer. As an accurate and high-resolution imaging method for targets embedded in a dielectric medium, extended range points migration (RPM) has been developed. Although this method offers an accurate internal target image in a homogeneous media, it assumes the permittivity of the dielectric medium is given, which is not practical for general applications. Although there are various permittivity estimation methods, they have essential problems that are not suitable for clear, dielectric boundaries like walls, or is not applicable to an unknown and arbitrary shape of dielectric medium. To overcome the above drawbacks, we newly propose a permittivity estimation method suitable for various shapes of dielectric media with a clear boundary, where the dielectric boundary points and their normal vectors are accurately determined by the original RPM method. In addition, our method iteratively compensates for the scattered waveform deformation using a finite-difference time domain (FDTD) method to enhance the accuracy of the permittivity estimation. Results from a numerical simulation demonstrate that our method achieves accurate permittivity estimation even for a dielectric medium of wavelength size.
    Scientific journal, English
    DOI URL
  • Super Resolution TOA Estimation Algorithm with Maximum Likelihood ICA Based Pre-Processing
    Tetsuhiro Okano; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E96B, 5, 1194-1201, May 2013, Peer-reviwed, High-resolution time of arrival (TOA) estimation techniques have great promise for the high range resolution required in recently developed radar systems. A widely known super-resolution TOA estimation algorithm for such applications, the multiple-signal classification (MUSIC) in the frequency domain, has been proposed, which exploits an orthogonal relationship between signal and noise eigenvectors obtained by the correlation matrix of the observed transfer function. However, this method suffers severely from a degraded resolution when a number of highly correlated interference signals are mixed in the same range gate. As a solution for this problem, this paper proposes a novel TOA estimation algorithm by introducing a maximum likelihood independent component analysis (MLICA) approach, in which multiple complex sinusoidal signals are efficiently separated by the likelihood criteria determined by the probability density function (PDF) of a complex sinusoid. This MLICA schemes can decompose highly correlated interference signals, and the proposed method then incorporates the MLICA into the MUSIC method, to enhance the range resolution in richly interfered situations. The results from numerical simulations and experimental investigation demonstrate that our proposed pre-processing method can enhance TOA estimation resolution compared with that obtained by the original MUSIC, particularly for lower signal-to-noise ratios.
    Scientific journal, English
    DOI URL
  • Robust and Accurate Image Expansion Algorithm Based on Double Scattered Range Points Migration for UWB Imaging Radars
    Shouhei Kidera; Tetsuo Kirimoto
    Lead, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E96B, 4, 1061-1069, Apr. 2013, Peer-reviwed, UWB (Ultra Wideband) radar offers great promise for advanced near field sensors due to its high range resolution. In particular, it is suitable for rescue or resource exploration robots, which need to identify a target in low visibility or acoustically harsh environments. Recently, radar algorithms that actively coordinate multiple scattered components have been developed to enhance the imaging range beyond what can be achieved by synthesizing a single scattered component. Although we previously developed an accurate algorithm for imaging shadow regions with low computational complexity using derivatives of observed ranges for double scattered signals, the algorithm yields inaccurate images under the severe interference situations that occur with complex-shaped or multiple objects or in noisy environments. This is because small range fluctuations arising from interference or random noises can produce non-negligible image degradation owing to inaccuracy in the range derivative calculation. As a solution to this difficulty, this paper proposes a novel imaging algorithm that does not use the range derivatives of doubly scattered signals, and instead extracts a feature of expansive distributions of the observed ranges, using a unique property inherent to the doubly scattering mechanism. Numerical simulation examples of complex-shaped or multiple targets are presented to demonstrate the distinct advantage of the proposed algorithm which creates more accurate images even for complicated objects or in noisy situations.
    Scientific journal, English
    DOI URL
  • Image Expansion Approach for Target Buried in Dielectric Medium with Extended RPM to Multi-Static UWB Radar
    Yoshihiro Niwa; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON ELECTRONICS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E96C, 1, 119-123, Jan. 2013, Peer-reviwed, Ultra wideband radar is one of the most promising techniques for non-invasive imaging in a dielectric medium, which is suitable for both medical screening and non-destructive testing applications. A novel imaging method for such an application is proposed in this brief paper, which has been extended from the advanced range points migration method to a multi-static observation model with circular arrays. One notable feature of this method is that it is applicable to either arbitrary dielectric or internal object shapes, and it can also expand the reconstructible image region compared with that obtained using the mono-static model by employing received signals after penetrating various propagation paths in dielectric medium. Numerical results for the investigation of an elliptical object, surrounded by a random dielectric surface, show the remarkable advantages of the proposed method with respect to image expansion.
    Scientific journal, English
    DOI URL
  • Efficient three-dimensional imaging method based on enhanced range point migration for UWB radars
    Shouhei Kidera; Tetsuo Kirimoto
    Lead, IEEE Geoscience and Remote Sensing Letters, 10, 5, 1104-1108, Jan. 2013, Peer-reviwed, Ultrawideband pulse radar has a definite advantage over optical ranging techniques in harsh optical environments, such as a dark smog or strong backlight. In security or rescue situations with blurry visibility, it is particularly promising for identifying human bodies. One of the most promising approaches for this type of application is the recently proposed range point migration (RPM) method, which is beneficial for nonparametric imaging and is robust in noisy or heavy interference situations. However, the original RPM requires a discretization of the direction-of-arrival variables in its search operation. The resulting coarse discretization seriously degrades the imaging accuracy, particularly for 3-D problems and far-field observations. Consequently, in this approach, there is a major tradeoff between the amount of computation and accuracy. To overcome this difficulty, this letter proposes a more efficient RPM method, where the extraction of the point of intersection of spheres is adopted. A distinct advantage of this method is that the accuracy is basically invariant to the observation range when avoiding the aforementioned discretization. Numerical simulations including noisy cases prove that our proposed RPM significantly reduces the computation complexity while retaining imaging accuracy. © 2012 IEEE.
    Scientific journal, English
    DOI URL
  • MLICA-Based Separation Algorithm for Complex Sinusoidal Signals with PDF Parameter Optimization
    Tetsuhiro Okano; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E95B, 11, 3556-3562, Nov. 2012, Peer-reviwed, Blind source separation (BSS) techniques are required for various signal decomposing issues. Independent component analysis (ICA), assuming only a statistical independence among stochastic source signals, is one of the most useful BSS tools because it does not need a priori information on each source. However, there are many requirements for decomposing multiple deterministic signals such as complex sinusoidal signals with different frequencies. These requirements may include pulse compression or clutter rejection. It has been theoretically shown that an ICA algorithm based on maximizing non-Gaussianity successfully decomposes such deterministic signals. However, this ICA algorithm does not maintain a sufficient separation performance when the frequency difference of the sinusoidal waves becomes less than a nominal frequency resolution. To solve this problem, this paper proposes a super-resolution algorithm for complex sinusoidal signals by extending the maximum likelihood ICA, where the probability density function (PDF) of a complex sinusoidal signal is exploited as a priori knowledge, in which the PDF of the signal amplitude is approximated as a Gaussian distribution with an extremely small standard deviation. Furthermore, we introduce an optimization process for this standard deviation to avoid divergence in updating the reconstruction matrix. Numerical simulations verify that our proposed algorithm remarkably enhances the separation performance compared to the conventional one, and accomplishes a super-resolution separation even in noisy situations.
    Scientific journal, English
    DOI URL
  • Accurate and Robust Automatic Target Recognition Method for SAR Imagery with SOM-Based Classification
    Shouhei Kidera; Tetsuo Kirimoto
    Lead, IEICE Trans. Commun., E95-B, 11, 3556-3571, 01 Nov. 2012, Peer-reviwed
    Scientific journal, English
  • MLICA-based separation algorithm for complex sinusoidal signals with PDF parameter optimization
    Tetsuhiro Okano; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE Transactions on Communications, Institute of Electronics, Information and Communication, Engineers, IEICE, E95-B, 11, 3556-3562, Nov. 2012, Peer-reviwed, Blind source separation (BSS) techniques are required for various signal decomposing issues. Independent component analysis (ICA), assuming only a statistical independence among stochastic source signals, is one of the most useful BSS tools because it does not need a priori information on each source. However, there are many requirements for decomposing multiple deterministic signals such as complex sinusoidal signals with different frequencies. These requirements may include pulse compression or clutter rejection. It has been theoretically shown that an ICA algorithm based on maximizing non-Gaussianity successfully decomposes such deterministic signals. However, this ICA algorithm does not maintain a sufficient separation performance when the frequency difference of the sinusoidal waves becomes less than a nominal frequency resolution. To solve this problem, this paper proposes a super-resolution algorithm for complex sinusoidal signals by extending the maximum likelihood ICA, where the probability density function (PDF) of a complex sinusoidal signal is exploited as a priori knowledge, in which the PDF of the signal amplitude is approximated as a Gaussian distribution with an extremely small standard deviation. Furthermore, we introduce an optimization process for this standard deviation to avoid divergence in updating the reconstruction matrix. Numerical simulations verify that our proposed algorithm remarkably enhances the separation performance compared to the conventional one, and accomplishes a super-resolution separation even in noisy situations. Copyright © 2012 The Institute of Electronics, Information and Communication Engineers.
    International conference proceedings, English
    DOI URL
  • Accurate and Robust Automatic Target Recognition Method for SAR Imagery with SOM-Based Classification
    Shouhei Kidera; Tetsuo Kirimoto
    Lead, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E95B, 11, 3563-3571, Nov. 2012, Peer-reviwed, Microwave imaging techniques, in particular synthetic aperture radar (SAR), are able to obtain useful images even in adverse weather or darkness, which makes them suitable for target position or feature estimation. However, typical SAR imagery is not informative for the operator, because it is synthesized using complex radio signals with greater than 1.0 m wavelength. To deal with the target identification issue for imaging radar, various automatic target recognition (ATR) techniques have been developed. One of the most promising ATR approaches is based on neural network classification. However, in the case of SAR images heavily contaminated by random or speckle noises, the classification accuracy is severely degraded because it only compares the outputs of neurons in the final layer. To overcome this problem, this paper proposes a self organized map (SOM) based ATR method, where the binary SAR image is classified using the unified distance matrix (U-matrix) metric given by the SOM. Our numerical analyses and experiments on 5 types of civilian airplanes, demonstrate that the proposed method remarkably enhances the classification accuracy, particular in lower S/N situations, and holds a significant robustness to the angular variations of the observation.
    Scientific journal, English
    DOI URL
  • Accurate 3-Dimensional Imaging Method Based on Extended RPM for Rotating Target Model
    Shouhei Kidera; Hiroyuki Yamada; Tetsuo Kirimoto
    Lead, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E95B, 10, 3279-3289, Oct. 2012, Peer-reviwed, Three-dimensional (3-D) reconstruction techniques employed by airborne radars are essential for object recognition in scenarios where optically vision is blurry, and are required for the monitoring of disasters and coast-guard patrols. There have been reports on 3-D reconstruction methods that exploit the layover appearing in inverse synthetic aperture radar (ISAR) imagery, which are suitable for the recognition of artificial targets such as buildings, aircraft or ships. However, existing methods assume only a point target or the aggregate of point targets, and most require the tracking of the multiple points over sequential ISAR images. In the case of a solid object with a continuous boundary, such as a wire or polyhedral structure, the positioning accuracy of such methods is severely degraded owing to scattering centers continuously shifting on the target surface with changes in the rotation angle. To overcome this difficulty, this paper extends the original Range Points Migration (RPM) method to the ISAR observation model, where a double mono-static model with two transmitting and receiving antennas is introduced to suppress cross-range ambiguity. The results of numerical simulation and experimental validation demonstrate that the extended RPM method has a distinct advantage for accurate 3-D imaging, even for non-point targets.
    Scientific journal, English
    DOI URL
  • Accurate Image Expansion Method for Target Buried in Dielectric Medium Using Multi-static UWB Radar
    Yoshihiro Niwa; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of 2012 International Symposium on Antennas and Propagation (ISAP2012),, x, x, x, Oct. 2012, Peer-reviwed
    International conference proceedings, English
  • NON-PARAMETRIC IMAGING METHOD FOR MULTIPLE MOVING TARGETS WITH MULTI-STATIC UWB RADAR
    Ryo Yamaguchi; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Conference on Space, Aeronautical and Navigation Electronics 2012, x, x, x, Oct. 2012, Peer-reviwed
    International conference proceedings, English
  • Accurate Image Expansion Method for Target Buried in Dielectric Medium Using Multi-static UWB Radar
    Yoshihiro Niwa; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of 2012 International Symposium on Antennas and Propagation (ISAP2012), x, x, x, Oct. 2012, Peer-reviwed
    International conference proceedings, English
  • Efficient 3-dimensional imaging algorithm using PI extraction based RPM for quasi-far field UWB radars
    Shouhei Kidera; Tetsuo Kirimoto
    Proceedings - IEEE International Conference on Ultra-Wideband, x, x, 561-565, Sep. 2012, Peer-reviwed, Ultra-wide band (UWB) pulse radar has a definite advantage over optical ranging techniques in harsh optical environments, such as a dark smog or strong backlight. In security or rescue situations with blurry visibility, it is particularly promising for identifying human bodies. One of the most promising approaches for this type of application is the recently proposed range points migration (RPM) method, which is beneficial for non-parametric imaging and is robust in noisy or heavily interference situations. However, the original RPM requires a discretization of the direction of arrival (DOA) variables in its search operation. The resulting coarse discretization seriously degrades the imaging accuracy, particularly for 3-dimensional problems and quasi-far field observations (defined as more than 5 wavelengths). Then, in this approach, there is a severe trade-off between the amount of computation and accuracy. To overcome this difficulty, this paper proposes a more efficient RPM algorithm, where the extraction of the point of intersection (PI) of spheres is adopted. A distinct advantage of this method is that the accuracy is basically invariant to the observation range when avoiding the above discretization. Numerical simulations prove that our proposed RPM remarkably reduces the computation complexity while retaining imaging accuracy. © 2012 IEEE.
    International conference proceedings, English
    DOI URL
  • Nonparametric and accurate imaging algorithm for a target with arbitrary motion using multi-static UWB radar
    Ryo Yamaguchi; Shouhei Kidera; Tetsuo Kirimoto
    Proceedings - IEEE International Conference on Ultra-Wideband, x, x, 556-560, Sep. 2012, Peer-reviwed, Ultra-wideband pulse radar is a promising technology for the imaging sensors of rescue robots operating in disaster scenarios, where optical sensors are not applicable because of dark smog or high-density gas. For the above application, while one promising ultra-wideband radar imaging algorithm for a target with arbitrary motion has already been proposed with a compact observation model, it is based on an ellipsoidal approximation of the target boundary, and is thus hardly applicable to complex target shapes, particularly when targets have specular surfaces or surface edges. To tackle the above problem, this paper proposes a non-parametric and robust imaging algorithm for a target with arbitrary motion including rotation and translation using multi-static radar, which is based on the matching of target boundary points obtained by range points migration extended to this model. To enhance the imaging accuracy in situations having lower signal-to-noise ratios, the proposed method also adopts an integration scheme for the obtained range points, where the equivalent antenna locations are correctly compensated for the estimated target motion. Results from numerical simulations show that the proposed method accurately extracts the surface of a moving target, and estimates the motion of the target, without any target or motion model. © 2012 IEEE.
    International conference proceedings, English
    DOI URL
  • Accurate permittivity estimation method by compensating waveform deformation for UWB internal imaging radar
    Ryunosuke Souma; Shouhei Kidera; Tetsuo Kirimoto
    Proceedings - IEEE International Conference on Ultra-Wideband, x, x, 496-500, Sep. 2012, Peer-reviwed, Ultra-wideband pulse radar has high range resolution and permeability in a dielectric medium, and has great potential for non-destructive inspection or early-stage detection of breast cancer. As an accurate and high-resolution imaging method for targets embedded in dielectric medium, extended range points migration (RPM) has been developed. Although this method offers an accurate internal target image in a homogeneous media, it assumes the permittivity of the dielectric medium is given, which is not practical for general applications. Although there are various permittivity estimation methods, they require an enormous computation or are hardly applicable to an arbitrary dielectric boundary. To overcome the above drawbacks, we newly propose a permittivity estimation method suitable for various shapes of dielectric media, where the dielectric boundary points and their normal vectors are accurately determined by the original RPM method. In addition, our method iteratively compensates for the scattered waveform deformation using a finite-difference time domain (FDTD) method to enhance the accuracy of the permittivity estimation. Results from numerical simulation demonstrate that our method achieves accurate permittivity estimation less than 5 % even for a dielectric medium of wavelength size. © 2012 IEEE.
    International conference proceedings, English
    DOI URL
  • Accurate and Nonparametric Imaging Algorithm for Targets Buried in Dielectric Medium for UWB Radars
    Ken Akune; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON ELECTRONICS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E95C, 8, 1389-1398, Aug. 2012, Peer-reviwed, Ultra-wide band (UWB) pulse radar with high range resolution and dielectric permeability is promising as an internal imaging technique for non-destructive testing or breast cancer detection. Various imaging algorithms for buried objects within a dielectric medium have been proposed, such as aperture synthesis, the time reversal approach and the space-time beamforming algorithm. However, these algorithms mostly require a priori knowledge of the dielectric medium boundary in image focusing, and often suffer from inadequate accuracy to identify the detailed structure of buried targets, such as an edge or specular surface owing to employing the waveform focusing scheme. To overcome these difficulties, this paper proposes an accurate and non-parametric (i.e. using an arbitrary shape without target modeling) imaging algorithm for targets buried in a homogeneous dielectric medium by advancing the RPM (Range Points Migration) algorithm to internal imaging issues, which has been demonstrated to provide an accurate image even for complex-shaped objects in free-space measurement. Numerical simulations, including those for two-dimensional (2-D) and three-dimensional (3-D) cases, verify that the proposed algorithm enhances the imaging accuracy by less than 1/10 of the wavelength and significantly reduces the computational cost by specifying boundary extraction compared with the conventional SAR-based algorithm.
    Scientific journal, English
    DOI URL
  • Accurate Internal Imaging Method Using Extended RPM to Multi-static UWB Radar
    Yoshihiro Niwa; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Workshop on Modern Science and Technology 2012 (IWMST 2012), x, x, x, Aug. 2012
    International conference proceedings, English
  • Efficient Signal Separation Method Using Independent Component Analysis with Data Length Optimization
    Shunsuke Koumori; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Workshop on Modern Science and Technology 2012 (IWMST 2012), x, x, x, Aug. 2012
    International conference proceedings, English
  • Accurate Image Expansion Method Using Range Points Based Ellipse Fitting for UWB Imaging Radar
    Yoriaki Abe; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E95B, 7, 2424-2432, Jul. 2012, Peer-reviwed, Ultra-wideband (UWB) pulse radars have a definite advantage in high-range resolution imaging, and are suitable for short-range measurements, particularly at disaster sites or security scenes where optical sensors are rarely suitable because of dust or strong backlighting. Although we have already proposed an accurate imaging algorithm called Range Points Migration (RPM), its reconstructible area is too small to identify the shape of an object if it is far from the radar and the size of the aperture is inadequate. To resolve this problem, this paper proposes a novel image expansion method based on ellipse extrapolation; it enhances extrapolation accuracy by deriving direct estimates of the observed range points distributed in the data space. Numerical validation shows that the proposed method accurately extrapolates part of the target boundary, even if an extremely small region of the target boundary is obtained by RPM.
    Scientific journal, English
    DOI URL
  • EXPERIMENTAL STUDY ON ACCURATE 3-DIMENSIONAL IMAGING METHOD BASED ON EXTENDED RPM FOR ROTATING TARGET
    Shouhei Kidera; Tetsuo Kirimoto
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, x, x, 4586-4589, Jul. 2012, Peer-reviwed, The 3-D reconstruction radar techniques are required for coast-guard patrols. While many 3-D reconstruction methods exploiting ISAR images have been proposed, they assume only pointwise targets. For objects with continuous boundaries, such as a wire, their accuracy is, however, severely degraded owing to scattering centers shifting on target surface. Solving this difficulty, this paper extends RPM (Range Points Migration) method to ISAR model. Numerical and experimental validations demonstrate that our method accomplishes accurate 3-D imaging even for non-point targets.
    International conference proceedings, English
    DOI URL
  • Fast and Shadow Region 3-Dimensional Imaging Algorithm With Range Derivative of Doubly Scattered Signals for UWB Radars
    Shouhei Kidera; Tetsuo Kirimoto
    Lead, IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 60, 2, 984-996, Feb. 2012, Peer-reviwed, Ultra-wideband (UWB) radar with its high range resolution and applicability to optically harsh environments, offer great promise for near field sensing systems. It is particularly suitable for robotic or security sensors that must identify a target in low visibility. Some recently developed radar imaging algorithms proactively employ multiple scattered components, which can enhance an imaging range compared to synthesizing a single scattered component. We have already proposed the synthetic aperture radar (SAR) method considering a double scattered, which successfully expanded a reconstructible range of radar imagery with no a priori knowledge of target or surroundings. However, it requires a multiple integration of the received signals, requiring the fifth times integration in the 3-D case. Thus, this method requires an intensive computation and its spatial resolution is insufficient for clear boundary extraction such as edges or specular surfaces. As a substantial solution, this paper proposes a novel shadow region imaging algorithm based on a range derivative of double scattered signals. This new method accomplishes high-speed imaging, including a shadow region without any integration process, and enhances the accuracy with respect to clear boundary extraction. Results from numerical simulations verify that the proposed method remarkably decreases the computation amount compared to that for the conventional method, especially for the 3-D problem, enhancing the visible range of radar imagery.
    Scientific journal, English
    DOI URL
  • Robust and Accurate Ultrasound 3-D Imaging Algorithm Incorporating Adaptive Smoothing Techniques
    Kenshi Saho; Tomoki Kimura; Shouhei Kidera; Hirofumi Taki; Takuya Sakamoto; Toru Sato
    IEICE Trans. Commun., The Institute of Electronics, Information and Communication Engineers, E95-B, 2, 572-580, Feb. 2012, Peer-reviwed, Many researchers have proposed ultrasound imaging techniques for product inspection; however, most of these techniques are aimed at detecting the existence of flaws in products. The acquisition of an accurate three-dimensional image using ultrasound has the potential to be a useful product inspection tool. In this paper we apply the Envelope algorithm, which was originally proposed for accurate UWB (Ultra Wide-Band) radar imaging systems, to ultrasound imaging. We show that the Envelope algorithm results in image deterioration, because it is difficult for ultrasound measurements to achieve high signal to noise (S/N) ratio values as a result of a high level of noise and interference from the environment. To reduce errors, we propose two adaptive smoothing techniques that effectively stabilize the estimated image produced by the Envelope algorithm. An experimental study verifies that the proposed imaging algorithm has accurate 3-D imaging capability with a mean error of 6.1µm, where the transmit center frequency is 2.0MHz and the S/N ratio is 23dB. These results demonstrate the robustness of the proposed imaging algorithm compared with a conventional Envelope algorithm.
    Scientific journal, English
    URL
    DOI URL
  • Accurate Surface Change Detection Method Using Phase of Coherence Function on SAR Imagery
    Takehiro Hoshino; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E95B, 1, 263-270, Jan. 2012, Peer-reviwed, Satellite-borne SAR (synthetic aperture radar) is for high-resolution geosurface measurements. Recently, a feature extraction method based on CCD (coherent change detection) was developed, where a slight surface change on the geosurface is detected using the phase relationship between sequential complex SAR images of the same region made at different times. For accurate detection of the surface change, the log-likelihood method has been proposed. This method determines an appropriate threshold for change detection, making use of the phase characteristic of the changed area, and thus enhances the detection probability. However, this and other conventional methods do not seek to proactively employ phase information of the estimated coherence function, and their detection probability is often low, especially in the case that the target has small surface or local uniform changes. To overcome this problem, this paper proposes a novel transformation index that considers the phase difference of the coherence function. Furthermore, we introduce a pre-processing calibration method to compensate the bias error for the coherence phase which resulting mainly from the orbit error of the antenna platform. Finally, the results from numerical simulations and experiment modeling of the geosurface measurement verify the effectiveness of the proposed method, even in situations with low SNR (signal to noise ratio).
    Scientific journal, English
    DOI URL
  • Extended Imaging Algorithm Based on Aperture Synthesis With Double-Scattered Waves for UWB Radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Lead, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 49, 12, 5128-5139, Dec. 2011, Peer-reviwed, Ultrawideband (UWB) pulse radar with high range resolution is suitable for near-field sensing. Applications of UWB pulse radar include human body identification in blurry vision for security or rescue purposes and accurate spatial measurements for industrial products such as a reflector antenna. The synthetic aperture radar is still promising for these applications because it creates an accurate image even for near-field targets in free space. However, for complex-shaped or multiple objects, this algorithm suffers from increased shadow region because it employs only a single-scattered signal for imaging. To resolve this difficulty, this paper proposes a novel imaging algorithm based on aperture synthesis for double-scattered signals. In general, double-scattered waves include independent information on target points, which are not obtained by a single-scattered wave. Based on this principle, the proposed method effectively synthesizes the double-scattered signals and enhances the reconstructible range of a target shape, part of which becomes a shadow in the former approach. In order to enhance accuracy, a false image suppression approach based on the Fresnel zone theory is also incorporated in the proposed method. The results from numerical simulations and an experiment verify that our method significantly enhances the visible range of target surfaces without either a priori knowledge of target shapes or preliminary observation of their surroundings.
    Scientific journal, English
    DOI URL
  • Accurate and Omni-directional UWB Radar Imaging Algorithm with RPM Method Extended to Curvilinear Scanning Model
    Yoriaki Abe; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEEE Geoscience and Remote Sensing Letters, 9, 1, 144-148, Nov. 2011, Peer-reviwed
    Scientific journal, English
  • PCA-Based Detection Algorithm of Moving Target Buried in Clutter in Doppler Frequency Domain
    Muhammad Waqas; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E94B, 11, 3190-3194, Nov. 2011, Peer-reviwed, This letter proposes a novel technique for detecting a target signal buried in clutter using principal component analysis (PCA) for pulse-Doppler radar systems. The conventional detection algorithm is based on the fast Fourier transform-constant false alarm rate (FFT-CFAR) approaches. However, the detection task becomes extremely difficult when the Doppler spectrum of the target is completely buried in the spectrum of clutter. To enhance the detection probability in the above situations, the proposed method employs the PCA algorithm, which decomposes the target and clutter signals into uncorrelated components. The performances of the proposed method and the conventional FFT-CFAR based detection method are evaluated in terms of the receiver operating characteristics (ROC) for various signal-to-clutter ratio (SCR) cases. The results of numerical simulations show that the proposed method significantly enhances the detection probability compared with that obtained using the conventional FFT-CFAR method, especially for lower SCR situations.
    Scientific journal, English
    DOI URL
  • "Accurate Shadow Region Imaging Algorithm Based on Doubly Scattered Range Points Migration for UWB Radars"
    Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Symposium of Antenna and Propagation 2011, x, x, x, Oct. 2011, Peer-reviwed
    International conference proceedings, English
  • Acceleration for Shadow Region Imaging Algorithm with Multiple Scattered Waves for UWB Radars
    Ken Akune; Shouhei Kidera; Tetsuo Kirimoto
    Corresponding, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E94B, 9, 2696-2699, Sep. 2011, Peer-reviwed, Ultra-wide band (UWB) pulse radar has high range resolution, and is thus applicable to imaging sensors for a household robot. To enhance the imaging region of UWB radar, especially for multiple objects with complex shapes, an imaging algorithm based on aperture synthesis for multiple scattered waves has been proposed. However, this algorithm has difficulty realizing in real-time processing because its computation time is long. To overcome this difficulty, this letter proposes a fast accurate algorithm for shadow region imaging by incorporating the Range Points Migration (RPM) algorithm. The results of the numerical simulation show that, while the proposed algorithm affects the performance of the shadow region imaging slightly, it does not cause significant accuracy degradation and significantly decreases the computation time by a factor of 100 compared to the conventional algorithm.
    Scientific journal, English
    DOI URL
  • Accurate 3-Dimensional Image Reconstruction Algorithm Extending RPM Method to ISAR Model
    Shouhei Kidera; Hiroyuki Yamada; Tetsuo Kirimoto
    Proc. of Asia-Pacific International Conference on Synthetic Aperture Radar (APSAR) 2011, x, x, x, Sep. 2011, Peer-reviwed
    International conference proceedings, English
  • ICA-Based Super Resolution Pulse Compression Algorithm Incorporated by MUSIC Algorithm
    Tetsuhiro Okano; Shouhei Kidera; Tetsuo Kirimoto
    Proc .of Asia-Pacific International Conference on Synthetic Aperture Radar (APSAR) 2011, x, x, x, Sep. 2011, Peer-reviwed
    International conference proceedings, English
  • Nonparametric UWB Radar Imaging Algorithm for Moving Target Using Multi-static RPM Approach
    Ryo Yamaguchi; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of Asia-Pacific International Conference on Synthetic Aperture Radar (APSAR) 2011, x, x, x, Sep. 2011
    International conference proceedings, English
  • Fast and Accurate Permittivity Estimation Algorithm for UWB Internal Imaging Radar
    Ryunosuke Souma; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of Asia-Pacific International Conference on Synthetic Aperture Radar (APSAR) 2011, x, x, x, Sep. 2011, Peer-reviwed
    International conference proceedings, English
  • Accurate 3-dimensional image expansion algorithm using range derivative of double scattered signals for UWB radars
    Shouhei Kidera; Tetsuo Kimmoto
    2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011, xx, xx, xx, Aug. 2011, Peer-reviwed, UWB(Ultra Wideband) radar offers a high range resolution and has a great promise to the near field sensing system, such as robotic or security sensor, that can identify a target even in an optically harsh environment. In recent years, some of radar imaging algorithms proactively employing multiple scattered components have been developed, which can enhance an imaging range compared to that synthesized by a single scattered one. As such, we have already proposed the SAR (Synthetic Aperture Radar) method using double scattered signals, and it successfully expanded a reconstructible range of radar imagery without any preliminary knowledge of target or surroundings. However, it is based on the multiple integration of the received signals, that requires an intensive computation, and also its spatial resolution is generally insufficient for clear boundary extraction such as edge or specular surface. As a substantial solution for the above problems, this paper proposes a novel expanded 3-dimensional (3-D) imaging algorithm based on range derivatives of double scattered signals. Some results in numerical simulations verify that the proposed method remarkably enhances the visible range of radar imagery without any integration process, and extremely decreases the calculation amount compared to that of the conventional method. © 2011 IEEE.
    International conference proceedings, English
    DOI URL
  • Fast and accurate imaging algorithm for targets buried in dielectric medium for UWB radars
    Ken Akune; Shouhei Kidera; Tetsuo Kirimoto
    2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011, xx, xx, xx, Aug. 2011, Peer-reviwed, Ultra-wide band (UWB) pulse radar with high range resolution and dielectric permeability is promising as an internal imaging technique for non-destructive testing or breast cancer detection. Various imaging algorithms for UWB radar techniques have been proposed, such as aperture synthesis and the space-time beamforming algorithm. However, these algorithms are based on a signal focusing scheme, which often suffers from insufficient resolution to identify the detailed structure of buried targets and has high computational cost in obtaining a full three-dimensional image. To overcome these difficulties, this paper proposes an accurate fast imaging algorithm for targets buried in a uniform dielectric medium by advancing the RPM(Range Points Migration) algorithm, which has been shown to achieve super-resolution imaging for spatial measurement. Numerical simulation shows that the proposed algorithm achieves imaging accuracy of around 1/20 λ with less computation time by specifying boundary extraction. © 2011 IEEE.
    International conference proceedings, English
    DOI URL
  • Accurate shadow region imaging algorithm using ellipse extrapolation based on distorted hyperbola fitting for UWB radars
    Yoriaki Abe; Shouhei Kidera; Tetsuo Kirimoto
    2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011, xx, xx, xx, Aug. 2011, Peer-reviwed, Ultra-wideband (UWB) pulse radars have a definitive advantage in high-range resolution imaging and are suitable for near-field measurements. Although we have already proposed an accurate imaging algorithm called Range Points Migration (RPM), the reconstructible area of RPM is too small to identify an object shape when the object is far from the observation site in the case of limited aperture size. To resolve the problem, this paper proposes a novel image expansion method based on ellipse extrapolation, which is converted to distorted hyperbola fitting in the data space to enhance extrapolation accuracy. Numerical simulations show that the proposed method accurately extrapolates the target boundary, even if an extremely small region of the target boundary is obtained by the RPM. © 2011 IEEE.
    International conference proceedings, English
    DOI URL
  • Multi-Static UWB Radar Approach Based on Aperture Synthesis of Double Scattered Waves for Shadow Region Imaging
    Shouhei Kidera; Tetsuo Kirimoto
    Lead, IEICE TRANSACTIONS ON ELECTRONICS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E94C, 8, 1320-1323, Aug. 2011, Peer-reviwed, The applicability in harsh optical environments, such as dark smog, or strong backlight of ultra-wide band (UWB) pulse radar has a definite advantage over optical ranging techniques. We have already proposed the extended Synthetic Aperture Radar (SAR) algorithm employing double scattered waves, which aimed at enhancing the reconstructible region of the target boundary including shadow region. However, it still suffers from the shadow area for the target that has a sharp inclination or deep concave boundary, because it assumes a mono-static model, whose real aperture size is, in general, small. To resolve this issue, this study proposes an extension algorithm of the double scattered SAR based on a multi-static configuration. While this extension is quite simple, the effectiveness of the proposed method is nontrivial with regard to the expansion of the imaging range. The results from numerical simulations verify that our method significantly enhances the visible range of the target surfaces without a priori knowledge of the target shapes or any preliminary observation of its surroundings.
    Scientific journal, English
    DOI URL
  • FAST AND ACCURATE SHADOW REGION IMAGING ALGORITHM USING RANGE DERIVATIVES OF DOUBLY SCATTERED SIGNALS FOR UWB RADARS
    Shouhei Kidera; Tetsuo Kirimoto
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, xx, xx, 937-940, Jul. 2011, Peer-reviwed, UWB (Ultra Wideband) radars have great promise for near field sensing systems, holding its high range resolution. It is particularly suitable for robotic or security sensors that must identify a target in optically blurry visions. Some recently developed radar imaging algorithms proactively employ multiple scattered components, which can enhance an imaging range compared to synthesizing a single scattered component. We have already proposed the SAR (Synthetic Aperture Radar) method considering a double scattered, which successfully expanded a reconstructible range of radar imagery with no preliminary knowledge of target or surroundings. However, this method requires an intensive computation and its spatial resolution is insufficient for clear boundary extraction such as edges or specular surfaces. As a substantial solution, this paper proposes a novel shadow region imaging algorithm based on a range derivative of double scattered signals. This new method accomplishes high-speed imaging, including a shadow region without any integration process, and enhances the accuracy with respect to clear boundary extraction. Some results from numerical simulations verify that the proposed method remarkably decreases the computation amount compared to that for the conventional method, enhancing the visible range of radar imagery.
    International conference proceedings, English
    DOI URL
  • Super-Resolution UWB Radar Imaging Algorithm Based on Extended Capon With Reference Signal Optimization
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Lead, IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 59, 5, 1606-1615, May 2011, Peer-reviwed, Near field radar employing ultrawideband (UWB) signals with its high range resolution has great promise for various sensing applications. It enables non-contact measurement of precision devices with specular surfaces like an aircraft fuselage and wing, or a robotic sensor that can identify a human body in invisible situations. As one of the most promising radar algorithms, the range points migration (RPM) was proposed. This achieves fast and accurate surface extraction, even for complex-shaped objects, by eliminating the difficulty of connecting range points. However, in the case of a more complex shape whose variation scale is less than a pulsewidth, it still suffers from image distortion caused by multiple interference signals with different waveforms. As a substantial solution, this paper proposes a novel range extraction algorithm by extending the Capon method, known as frequency domain interferometry (FDI). This algorithm combines reference signal optimization with the original Capon method to enhance the accuracy and resolution for an observed range into which a deformed waveform model is introduced. The results obtained from numerical simulations and an experiment with bi-static extension of the RPM prove that super-resolution UWB radar imaging is accomplished by the combination between the RPM and the extended Capon methods, even for an extremely complex-surface target including edges.
    Scientific journal, English
    DOI URL
  • Acceleration for Shadow Region Imaging Algorithm with Multiple Scattered Waves for UWB Radars
    Ken Akune; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Workshop on Modern Science and Technology, x, x, x, Sep. 2010, Peer-reviwed
    International conference proceedings, English
  • Accurate UWB Radar Imaging Algorithm Using Curvilinear Scanning of Antenna
    Yoriaki Abe; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Workshop on Modern Science and Technology 2010, xx, x, x, Sep. 2010, Peer-reviwed
    International conference proceedings, English
  • Signal Separation Algorithm for Complex Sinusoidal Waves using Maximum Likelihood ICA
    Tetsuhiro Okano; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Workshop on Modern Science and Technology 2010, x, x, x, Sep. 2010, Peer-reviwed
    International conference proceedings, English
  • Super-resolution UWB Radar Imaging Algorithm based on Frequency Domain Interferometer
    Shouhei Kidera; Tetsuo Kirimoto
    Proc. of International Workshop on Modern Science and Technology 2010, x, x, x, Sep. 2010, Peer-reviwed
    International conference proceedings, English
  • Coherent Change Detection with Complex Logarithm Transformation on SAR Imagery
    Takehiro Hoshino; Shouhei Kidera; Tetsuo Kirimoto
    Proc. of SICE Annual Conference 2010, x, x, x, Aug. 2010, Peer-reviwed
    International conference proceedings, English
  • SHADOW REGION IMAGING ALGORITHM USING ARRAY ANTENNA BASED ON APERTURE SYNTHESIS OF MULTIPLE SCATTERED WAVES FOR UWB RADARS
    Shouhei Kidera
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IEEE, x, x, 4055-4058, Jul. 2010, Peer-reviwed, Ultra-wide band (UWB) pulse radar has a definite advantage over optical ranging techniques, as to applicablity to the harsh optical environment, such as the dark smog, or strong back-light. We have already propoposed the extended Synthetic Aperture Radar (SAR) algorithm employing the multiple scattered waves, which aims at enhancing the reconstructible region of the target boundary including the shadow. However, it still suffers from the shadow region in the case of the target with a sharp inclination or deep concave boundary, because it assumes the antenna scanning whose real aperture size is too small. To resolve this difficulty, this paper proposes an extension algorithm using the array antenna model. While this extension is quite simple, the effectiveness of the proposed method is nontrivial regarding to the expansion of the imaging range. The results from numerical simulations verify that our method remarkably enhances the visible range of target surfaces without a priori knowledge of target shapes or a preliminary observation of its surroundings.
    International conference proceedings, English
  • Experimental study on super-resolution 3-D imaging algorithm based on extended Capon with reference signal optimization for UWB radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Symposium Digest - 20th URSI International Symposium on Electromagnetic Theory, EMTS 2010, x, x, 388-391, Jul. 2010, Peer-reviwed, Near field radar employing UWB (Ultra Wideband) signals with its high range resolution is promising as various sensing applications. It enables robotic or security sensors that can identify a human body in invisible situations. As one of the most promising radar algorithms, the RPM (Range Points Migration) is proposed. This offers an accurate 3-D (3-dimensional) surface extraction for various target shape. However, in the case of a complicated target surface whose variation scale is less than wavelength, it still suffers from image distortion caused by multiple interference signals with different waveforms. As a substantial solution, this paper proposes a novel range extraction algorithm by extending the Capon, known as frequency domain interferometry (FDI). This algorithm combines reference signal optimization with the original Capon to enhance the accuracy and resolution for an observed range into which a deformed waveform model is introduced. The results obtained from numerical simulations and an experiment prove that super-resolution UWB radar imaging is achieved by the proposed method, even for an extremely complex-surface target, including edges. © 2010 IEEE.
    International conference proceedings, English
    DOI URL
  • Accurate UWB Radar 3-D Imaging Algorithm for Complex Boundary without Wavefront Connections
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Lead, IEEE Trans. Geoscience and Remote Sensing, 48, 4, 1993-2004, Apr. 2010, Peer-reviwed
    Scientific journal, English
  • Super-Resolution UWB Radar Imaging Algorithm Based on Extended Capon with Reference Signal Optimization
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    PROCEEDINGS OF THE FOURTH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, IEEE, xx, xx, xx, Mar. 2010, Peer-reviwed, Near field radar employing UWB (Ultra Wideband) signals with its high range resolution provides various sensing applications. It enables a robotic or security sensor that can identify a human body even in invisible situations. As one of the most efficient radar algorithms, the RPM (Range Points Migration) is proposed. This achieves fast and accurate estimating shapes of surfaces, even for complex-shaped targets by eliminating the difficulty of connecting range points. However, in the case of a complicated target surface whose variation scale is less than wavelength, it still suffers from image distortion caused by multiple interference signals mixed together by different waveforms. As a substantial solution, this paper proposes a novel range extraction algorithm by extending the Capon, known as FDI (Frequency Domain Interferometry). This algorithm combines reference signal optimization with the original Capon method to enhance the accuracy and resolution for an observed range into which a deformed waveform model is introduced. The result obtained from numerical simulation proves that super-resolution UWB radar imaging is accomplished by the proposed method, even for an extremely complex-shaped targets including edges.
    International conference proceedings, English
  • High-Resolution 3-D Imaging Algorithm With an Envelope of Modified Spheres for UWB Through-the-Wall Radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Lead, IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 57, 11, 3520-3529, Nov. 2009, Peer-reviwed, Through-the-wall imaging techniques with ultrawideband (UWB) radars are promising candidates for non-destructive testing and reliable human detection, especially in disaster areas, where victims are buried under collapsed walls. These applications require high-resolution target imaging to identify the object shape, such as a human body. We have already proposed a high-quality 3-dimensional (3-D) imaging algorithm in the form of Envelope, that is aimed at near field sensing for non-contact measurement or target identification for robots. Envelope achieves realtime accurate 3-D imaging with group mapping from multiple observed ranges to target points, and offers a reliable image even in noisy situations. However, this method does not maintain its quality for through-the-wall imaging because an observed range shift due to wall penetration causes a serious distortion in the image. This paper presents a high-resolution 3-D imaging algorithm by modifying the original Envelope, and which gives a more accurate object shape behind a wall. Furthermore, to enhance the resolution of the estimated images, this method is combined with a direct waveform compensation method, known as spectrum offset correction. Numerical simulations and an experiment verify that our proposed method achieves high-resolution 3-D imaging for through-the-wall radar applications.
    Scientific journal, English
    DOI URL
  • Experimental Study of Shadow Region Imaging Algorithm with Multiple Scattered Waves for UWB Radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    PIERS 2009 MOSCOW VOLS I AND II, PROCEEDINGS, ELECTROMAGNETICS ACAD, 5, 4, 12-+, Aug. 2009, Peer-reviwed, Ultra-wide band (UWB) radar is capable of high range resolution near field sensing, and is thus applicable to security systems designed to identify a human body even when invisible. Although Synthetic Aperture Radar (SAR) creates a stable and accurate target image for such applications, it often suffers from increased shadow regions in the case of complex or multiple targets. On the contrary, a multiple scattered wave has the potential to enlarge a visible range on target surfaces because it propagates a path which differs from that of a single scattered wave. While various algorithms based on time-reversal processing with multiple scattered waves have been developed, these require a priori information of the surroundings or a target model. This paper proposes a shadow region imaging algorithm based on the aperture synthesis of multiple scattered waves. While the proposed algorithm only synthesizes a double scattered wave according to its propagation path, it can directly increase the visible area and is applicable to arbitrary target shapes. The results from the numerical simulation and experiment verify that the proposed algorithm directly makes a shadow region visible without a preliminary observation.
    International conference proceedings, English
  • Shadow Region Imaging Algorithm with Aperture Synthesis of Multiple Scattered Waves for UWB Pulse Radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Proc. of IEEE APS 2010, x, x, x, Aug. 2009, Peer-reviwed
    International conference proceedings, English
  • High-Resolution and Real-Time Three-Dimensional Imaging Algorithm With Envelopes of Spheres for UWB Radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Lead, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 46, 11, 3503-3513, Nov. 2008, Peer-reviwed, Ultrawideband pulse radars have a great potential for high-range resolution in near field imaging and can be used for noncontact measuring in precision or specular products such as reflector antennas and aircraft fuselages. We have already proposed a high-speed 3-D imaging algorithm, SEABED, which is based on a reversible transform, which is the boundary scattering transform, between the received signals and the target shape. However, the estimated image with SEABED is unstable with random noise because it utilizes a derivative of the received data. In this paper, we propose a robust 3-D imaging algorithm with an envelope of spheres that completely resolves the instability due to derivative operations. Moreover, to enhance the resolution of estimated images, this method is combined with a direct waveform compensation method. that does not sacrifice high-speed calculation. Numerical simulations and an experiment confirm that the proposed method can realize fast, robust, and high-resolution 3-D imaging for arbitrary targets.
    Scientific journal, English
    DOI URL
  • Experimental study of robust and high-resolution ultrasound imaging algorithm with adaptive smoothing techniques
    Kenshi Saho; Tomoki Kimura; Shouhei Kidera; Hirofumi Taki; Takuya Sakamoto; Toru Sato
    Proc. of Workshop for Space, Aeronautical and Navigational Electronic,2008, The Institute of Electronics, Information and Communication Engineers, IEICE Tech report 108, 318, 119-124, Nov. 2008, Peer-reviwed, Ultrasound imaging is an important technique with great potential for accurate nondestructive testing. Previously, we proposed a high-resolution 3-D imaging algorithm for UWB radar, the Envelope algorithm with adaptive smoothing techniques. The Envelope imaging algorithm utilizes the principle that the target boundary is expressed as an envelope of spheres determined by observed ranges, while the range smoothing techniques stabilize the estimated image produced by the Envelope algorithm by adaptively changing the range smoothing method. Numerical simulations confirm that the maximum error of this algorithm is less than 0.015 center wavelength. In this study, we apply the Envelope algorithm with adaptive smoothing techniques to high resolution 3-D acoustic imaging, which is a promising form of accurate nondestructive testing, and evaluate the performance of this algorithm with experimental data. The results verify that the proposed method achieves high-resolution 3-D acoustic imaging. The mean error of the estimated image is 6.1μm which corresponds to 8.2×10^<-3> center wavelength.
    International conference proceedings, English
    URL
  • An Experimental Study of High-Resolution 3-D Imaging Algorithm with Envelope of Modified Spheres for UWB Through-the-Wall Radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Proc. of International Symposium on Antennas and Propagation 2008 (ISAP 08), 1644928, Oct. 2008, Peer-reviwed
    International conference proceedings, English
  • Fast and accurate 3-D imaging algorithm with linear array antennas for UWB pulse radars
    Shouhei Kidera; Yusuke Kani; Takuya Sakamoto; Toru Sato
    Lead, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E91B, 8, 2683-2691, Aug. 2008, Peer-reviwed, Pulse radars with UWB signals are promising as a high-resolution imaging technique that can be used for the non-destructive measurement of surface details in industrial products such as antennas and aircraft. We have already proposed a fast 3-D imaging algorithm, SEABED, that utilizes a reversible transform between the time delay and the target boundary. However, data acquisition is time-consuming when obtaining an accurate image because it assumes a mono-static radar with 2-D scanning of an antenna. In this paper, we utilize linear array antennas and propose a fast and accurate imaging algorithm. We extend the reversible transform for mono-static radars to apply to bi-static radars to reduce the data acquisition time. The effectiveness of the proposed method is verified with numerical simulations and experiments.
    Scientific journal, English
    DOI URL
  • High-Speed UWB Radar Imaging Algorithm for Complex Target Boundary without Wavefront Connections
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Proc. of The XXIX General Assembly of the International Union of Radio Science (URSI), BP, 1, 72, Aug. 2008, Peer-reviwed
    International conference proceedings, English
  • High-Resolution 3-D Imaging Algorithm without Derivative Operations for UWB Through-the-Wall Radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    2008 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM, VOLS 1-9, IEEE, IF216, 9, 1312-1315, Jul. 2008, Peer-reviwed
    International conference proceedings, English
  • A high-resolution imaging algorithm without derivatives based on waveform estimation for UWB pulse radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    2007 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM, VOLS 1-12, IEEE, 1362-1365, Oct. 2007, Peer-reviwed
    International conference proceedings, English
  • An experimental study for a high-resolution 3-D imaging algorithm with linear array for UWB radars
    Shouhei Kidera; Yusuke Kani; Takuya Sakamoto; Toru Sato
    2007 IEEE International Conference on Ultra-Wideband, ICUWB, 600-605, Sep. 2007, Peer-reviwed, Pulse radars with UWB signals are promising as a high-resolution imaging technique that can be used for a non-destructive measurement of surface details on reflector antennas and airplane. We previously proposed a fast 3-D imaging algorithm, SEABED, that utilizes a reversible transform between the time delay and the target boundary. However, data acquisition is time-consuming when obtaining a high-resolution image because it assumes a monostatic radar with 2-D scanning of an antenna. In this paper, we utilize linear array antennas and propose a fast and high-resolution imaging algorithm. We extend the reversible transform for mono-static radars to apply to bi-static radars to reduce the data acquisition time. The effectiveness of the proposed method is verified with numerical Simulations and experiments. © 2007 IEEE.
    International conference proceedings, English
    DOI URL
  • A robust and fast Imaging algorithm with an envelope of circles for UWB pulse radars
    Shouhei Kidera; Takuya Sakamoto; Torn Sato
    Lead, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E90B, 7, 1801-1809, Jul. 2007, Peer-reviwed, Target shape estimation with UWB pulse radars is a promising imaging technique for household robots. We have already proposed a fast imaging algorithm, SEABED, that is based on a reversible transform BST (Boundary Scattering Transform) between the received signals and the target shape. However, the target image obtained by SEABED deteriorates in a noisy environment because it utilizes a derivative of received data. In this paper, we propose a robust imaging method with an envelope of circles. We clarify by numerical simulation that the proposed method can realize a level of robust and fast imaging that cannot be achieved by the original SEABED.
    Scientific journal, English
    DOI URL
  • Fast and high-resolution 3-D imaging algorithm with spectrum shift for UWB pulse radars
    S. Kidera; T. Sakamoto; T. Sato
    IET Seminar Digest, 2007, 11961, 1-6, Jul. 2007, Peer-reviwed, UWB pulse radar systems are promising candidates for a high range resolution imaging in a near field. We have already proposed rapid and robust imaging algorithm with envelope of spheres. It can realize stable 3-D imaging for an arbitrary target shape without derivative operations. However, the estimated image with this method is distorted especially around the target edges and wedges due to waveform deformations. In this paper, we propose fast and high-resolution 3-D imaging algorithm by directly compensating for these distortions with a spectrum offset correction. The application examples with numerical simulations and an experiment verify that the proposed method accomplishes highspeed, accurate 3-D imaging, including target edges, with the order of 1/100 center wavelength of the UWB pulse.
    International conference proceedings, English
    DOI URL
  • A high-resolution imaging algorithm without derivatives based on waveform estimation for UWB radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Lead, IEICE Transactions on Communications, Institute of Electronics, Information and Communication, Engineers, IEICE, E90-B, 6, 1487-1494, Jun. 2007, Peer-reviwed, UWB pulse radars enable us to measure a target location with high range-resolution, and so are applicable for measurement systems for robots and automobile. We have already proposed a robust and fast imaging algorithm with an envelope of circles, which is suitable for these applications. In this method, we determine time delays from received signals with the matched filter for a transmitted waveform. However, scattered waveforms are different from transmitted one depending on the target shape. Therefore, the resolution of the target edges deteriorates due to these waveform distortions. In this paper, a high-resolution imaging algorithm for convex targets is proposed by iteration of the shape and waveform estimation. We show application examples with numerical simulations and experiments, and confirm its capability to detect edges of an object. Copyright © 2007 The Institute of Electronics, Information and Communication Engineers.
    International conference proceedings, English
    DOI URL
  • A robust and fast 3-D imaging algorithm without derivative operations for UWB radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Proc. of International URSI Commission B Electromagnetic Theory Symposium, paper no. EMTS084, Jun. 2007, Peer-reviwed
    International conference proceedings, English
  • UWBパルスレーダによる高速立体形状推定法の実験的検討
    阪本 卓也; 木寺 正平; 佐藤 亨; 杉野 聡
    電子情報通信学会論文誌, J90-B, 1, 2311-2325, Jan. 2007, Peer-reviwed
    Scientific journal, Japanese
  • A Robust and Fast Imaging Algorithm without derivative operations for UWB Pulse Radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Proc.of European Conference on Antennas & Propagation (EuCAP) 2006, no.314368, Nov. 2006, Peer-reviwed
    International conference proceedings, English
  • An Edge-Preserving Stabilization for a Fast 3-D Imaging Algorithm with a UWB Pulse Radar
    Takuya Sakamoto; Shouhei Kidera; Toru Sato; Satoshi Sugino
    Proc. of European Conference on Antennas & Propagation (EuCAP) 2006,, paper no. 306687, Nov. 2006, Peer-reviwed
    International conference proceedings, English
  • An accurate imaging algorithm with scattered waveform estimation for UWB pulse radars
    Shouhei Kidera; Takuya Sakamoto; Satoshi Sugino; Toru Sato
    Lead, IEICE TRANSACTIONS ON COMMUNICATIONS, IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, E89B, 9, 2588-2595, Sep. 2006, Peer-reviwed, UWB pulse radars that offer target shape estimation are promising as imaging techniques for household or rescue robots. We have already proposed an efficient algorithm for a shape estimation method SEABED which is a fast algorithm based on a reversible transform. SEABED extracts quasi wavefronts from received signals with the filter that matches the transmitted waveform. However, the scattered waveform is, in general, different from the transmitted one depending on the shape of targets. This difference causes estimation errors in SEABED. In this paper, we propose an accurate algorithm for a polygonal-target based on scattered waveform estimation. The proposed method is presented first, followed by results of numerical simulations and experiments that show the efficiency of the proposed method.
    Scientific journal, English
    DOI URL
  • A Robust and Fast Imaging Algorithm with an Envelope of Circles for UWB Pulse Radars
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Proc. of Progress in Electromagnetics Research Symposium (PIERS), 1, P, 4, Aug. 2006, Peer-reviwed
    International conference proceedings, English
  • A high-resolution 3-D imaging algorithm with linear array antennas for UWB pulse radar systems
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), 1057-1060, Jul. 2006, Peer-reviwed
    International conference proceedings, English
    DOI URL
  • An experimental study on a fast imaging algorithm for UWB pulse radar systems
    Takuya Sakamoto; Shouhei Kidera; Toru Sato; Tomohiko Mitani; Satoshi Sugino
    IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), 1, 690-693, Jul. 2005, Peer-reviwed
    International conference proceedings, English
    DOI URL
  • A high-resolution imaging algorithm based on scattered waveform estimation for UWB pulse radar systems,
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Proc. 2005 IEEE International Geoscience and Remote Sensing Symposium, 3, pp. 1725-1728, Jun. 2005, Peer-reviwed
    International conference proceedings, English
  • A high-resolution imaging algorithm based on scattered waveform estimation for UWB pulse radar systems,"
    Shouhei Kidera; Takuya Sakamoto; Toru Sato; Tomohiko Mitani; Satoshi Sugino
    Proc. of Workshop for Space, Aeronautical and Navigational Electronics (WSANE 2005), SANE, 104(699), 29-34, Mar. 2005
    International conference proceedings, English

Books and other publications

  • センサフュージョン技術の開発と応用事例 ～自動運転車、協働ロボットへ向けて～
    Dictionary or encycropedia, Japanese, Joint work, 第３章 レーダーを用いたセンシング技術、第3節 超広帯域(UWB)レーダを用いた近距離センシング技術, 技術情報協会, 31 Jan. 2019
  • レーダの基礎- 探査レーダから合成開口レーダまで -
    大内和夫; 平木直哉; 木寺正平; 松田庄司; 小菅義夫; 小林文明; 松波勲; 佐藤源之
    Scholarly book, Japanese, Joint work, 第4章, コロナ社, 03 Mar. 2017, 9784339008944
    URL

Lectures, oral presentations, etc.

  • A Study on Non-Line-of-Sight Imaging Based on Inverse Scattering Method Using Numerical Green’s Function Including Multipath Propagations
    末延博; 中西孝行; 小林亮介; 木寺正平; 西岡泰弘; 稲沢良夫
    Oral presentation, Japanese, 第39回信号処理シンポジウム
    16 Dec. 2024
  • レーダとトモグラフィの双方向融合によるマイクロ波複素誘電率イ メージング
    木寺正平
    Nominated symposium, 電気通信大学 第39回 ICTワークショップ, Invited
    10 Oct. 2024
  • High-resolution imaging and multiple scattering based non-line-of-sight pedestrian recognition for automotive millimeter wave radar
    木寺正平
    Nominated symposium, Japanese, 電気通信大学 第131回 研究開発セミナー, Invited
    25 Sep. 2024
  • ミリ波レーダによる人体衝突回避のための時系列深層学習を用いたレーダ画像予測
    松岡 毅流; 木寺 正平
    Oral presentation, 電子情報通信学会 総合大会，B-2-15, 広島大学，東広島市、広島県
    Mar. 2024
  • ミリ波近距離レーダの人体形状推定に特化したアレイ配置最適化法
    李 承宰; 木寺 正平
    Oral presentation, 電子情報通信学会 総合大会，B-2-10, 広島大学，東広島市、広島県
    Mar. 2024
  • マイクロ波アブレーションのためのTDOA法とCSI法を統合した複素誘電率画像化法
    村松 英明; 木寺 正平
    Oral presentation, 電子情報通信学会 総合大会，B-1C-39, 広島大学，東広島市、広島県
    Mar. 2024
  • マイクロ波乳癌診断のためのレーダ画像と背景更新型CSI法の統合
    中嶋 睦月; 木寺 正平
    Oral presentation, 電子情報通信学会 総合大会，B-1C-38, 広島大学，東広島市、広島県
    Mar. 2024
  • マイクロ波乳癌診断のための周波数サイノグラム深層学習に基づく癌識別法
    上田 歩実; 木寺 正平
    Oral presentation, 電子情報通信学会 総合大会，B-1C-37, 広島大学，東広島市、広島県
    Mar. 2024
  • マイクロ波乳癌診断のための深層学習を用いた複素誘電率3 次元イメージング法
    朱 沛賢; 木寺 正平
    Oral presentation, 電子情報通信学会 総合大会，B-1C-36, 広島大学，東広島市、広島県
    Mar. 2024
  • 電磁波センシングにおけるレーダとトモグラフィの画像化原理と応用例 ～ 乳癌診断と道路非破壊検査への応用 ～
    木寺 正平
    Invited oral presentation, 電子情報通信学会技報, vol. 123, no. 194, AP2023-81, pp. 16-21, 2023年9月，高知市，高知県, Invited
    Sep. 2023
  • マイクロ波乳癌診断のための皮膚反射抑圧法と深層学習を統合した複素誘電率再構成法の実験的検証
    朱 沛賢; 木寺 正平
    Oral presentation, 電子情報通信学会;ソサイエティ大会;B-1-118，名古屋大学，名古屋市，愛知県
    Sep. 2023
  • マイクロ波道路内部非破壊検査のための複素誘電率画像化法の実道路における検証
    鈴木 克禎; 木寺 正平
    Oral presentation, 電子情報通信学会;ソサイエティ大会;C-2-49，名古屋大学，名古屋市，愛知県
    Sep. 2023
  • テラヘルツ波多層構造内部解析のための逆散乱解析法を用いた高精度レーダ画像化法
    富田 恭平; 木寺 正平
    Oral presentation, 電子情報通信学会 ソサイエティ大会，C-2-48，名古屋大学，名古屋市，愛知県，Sep. 2023.
    Sep. 2023
  • マイクロ波乳癌診断のための臨床試験データに基づく表面波抑圧法の検証"
    上田歩実; 木寺正平
    電子情報通信学会技報, vol. 122, no. 441, AP2022-236, pp. 13-18
    Mar. 2023
  • マイクロ波乳癌診断のためのレーダとトモグラフィの双方向処理による複素誘電率画像化法
    中嶋睦月; 木寺正平
    電子情報通信学会技報, vol. 122, no. 441, AP2022-235, pp. 7-12
    Mar. 2023
  • ドップラ速度分離に基づく79GHz帯ミリ波レーダ画像化法
    関川佳希; 木寺正平
    電子情報通信学会総合大会，B-2-14
    Mar. 2023
  • ミリ波車載レーダのための多重散乱に基づく見通し外人体識別
    岡崎詢也; 何姜浩淼; 木寺正平
    電子情報通信学会総合大会，B-2-19
    Mar. 2023
  • "マイクロ波道路非破壊検査のための鉄筋応答抑圧と異常検出に関する検討
    秋山夏樹; 木寺正平
    電子情報通信学会技報, vol. 122, no. 408, SANE2022-100, pp. 64-69, 2023年3月
    Mar. 2023
  • "地中レーダによる多層構造異物識別のためのレーダとトモグラフィを統合した複素誘電率画像化法"
    山内啓宏; 木寺正平
    Oral presentation, 電子情報通信学会技報, vol. 122, no. 408, SANE2022-100, pp. 7-12
    Mar. 2023
  • ミリ波帯レーダによる見通し外人体識別
    何 姜浩淼; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会技報, vol. 122, no. 214, AP2022-145, pp. 233-238, Domestic conference
    Oct. 2022
  • 地中レーダによる多層構造異物解析のためのCSI法を用いた高精度レーダ画像化法
    山内啓宏; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会技報, vol. 122, no. 135, AP2022-47, pp.74-79, Domestic conference
    Jul. 2022
  • ドップラ速度・波数空間分離に基づく拡張RPM法を用いた3次元ミリ波イメージング
    安藤健; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会技報, vol. 121, no. 400, MW2021-135, pp. 134-139, Domestic conference
    Mar. 2022
  • マイクロ波非破壊道路モニタリングのための深層学習を用いた異常検出法
    諸岡貴英; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会技報, vol. 121, no. 400, MW2021-134, pp. 128-133, Domestic conference
    Mar. 2022
  • マイクロ波非破壊検査のためのRPM法及びCSI法を統合した複素誘電率イメージング法
    鈴木克禎; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会技報, vol. 121, no. 400, MW2021-133, pp. 122-127, Domestic conference
    Mar. 2022
  • マイクロ波地中レーダによる逆散乱解析法を用いた多層構造物の誘電率推定
    山内啓宏; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会技報, vol. 121, no. 168, AP2021-66, pp. 53-58, Domestic conference
    Sep. 2021
  • 超分解能ミリ波マイクロドップラ解析のための速度・波数空間分離に基づく拡張WKD法
    安藤 健; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会技報, vol. 121, no. 126, AP2021-28, pp. 25-30, Domestic conference
    Jul. 2021
  • マイクロ波マンモグラフィのための３次元CSI法における交差偏波の影響"
    朱 沛賢; 森本隼丈丸; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会総合大会，C-2-61, Domestic conference
    Mar. 2021
  • マイクロ波乳癌診断のための表面反射波抑圧法の臨床データによる検証
    馬 海洋; 笹田伸介; 岡田守人; 吉川公麿; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会総合大会，C-2-60, Domestic conference
    Mar. 2021
  • マイクロ波UWBレーダによる医療画像診断のためのデータ解析法
    木寺正平
    Invited oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会，CI-3-4, Invited, Domestic conference
    Sep. 2020
  • 波数空間分離とWKD法を統合した超分解能ドップラ速度,距離分解法
    安藤 健; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会総合大会，B-1-127, Domestic conference
    Mar. 2020
  • 波数空間分離とRPM法を統合した超分解能レーダ画像化法の実験的検討
    大森知樹; 赤峰悠介; 礒野友輔; 近藤勝彦; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会総合大会，B-1-128, Domestic conference
    Mar. 2020
  • 時系列複素データ解析によるミリ波帯回折波を用いた見通し外人体識別法
    何 姜浩淼; 寺島将太; 山田秀行; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会総合大会，B-2-12, Domestic conference
    Mar. 2020
  • マイクロ波非破壊検査のためのCSI法による複素誘電率再構成の実験的検討
    花房崇裕; 仲村慎吾; 工藤高裕; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会総合大会，B-2-12, Domestic conference
    Mar. 2020
  • マイクロ波非破壊検査のためのCSI法に基づく目標形状位置及び複素誘電率推定の双方向処理
    諸岡貴英; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会総合大会，C-1-13, Domestic conference
    Mar. 2020
  • 逆散乱解析法を用いたマイクロ波アブレーション画像化法
    高石ゆり子; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会総合大会，C-2-68, Domestic conference
    Mar. 2020
  • マイクロ波マンモグラフィのための周波数統合型CSI法を用いた複素誘電率再構成法
    佐藤宏樹; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会総合大会，C-2-69, Domestic conference
    Sep. 2019
  • マイクロ波マンモグラフィのためのROI制約付きCSI法を用いた複素誘電率再構成法
    佐藤 宏樹; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2019
  • マイクロ波マンモグラフィのためのレーダデータ学習に基づく癌細胞識別
    廣瀬 海太; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2019
  • カーネル密度推定を用いた超分解能ドップラー速度推定法の実験的検証
    Jianghaomiao He; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2019
  • RPM法とカーネルドップラー速度推定法の双方向処理に基づくレーダ画像化法
    林拓海; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2019
  • Range Points Migration法による自動焦点3次元テラヘルツ画像化法
    松井貴丸; 木寺正平
    Oral presentation, Japanese, 応用物理学会 秋季学術講演会, Domestic conference
    Sep. 2019
  • テラヘルツ時間領域分光イメージングのための圧縮センシングの原理に基づく多層構造解析
    森本 隼丈丸; 木寺正平
    Oral presentation, Japanese, 応用物理学会 秋季学術講演会, Domestic conference
    Sep. 2019
  • 近距離車載レーダのためのデータ統合によるRPM法の高精度化
    大森 知樹; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2019
  • マイクロ波マンモグラフィのための境界抽出法と逆散乱解析法の融合の 3 次元拡張
    則武 和輝; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2019
  • マイクロ波乳癌アブレーションのための3次元高精度リアルタイム画像化法
    金澤 和輝; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2019
  • ガウス混合モデルとEMアルゴリズムに基づくRPM法のパラメータ最適化法
    高橋 蹴人; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2019
  • ミリ波FM-CWレーダを用いた交通監視システムにおけるターゲットの識別に関する実験的検討
    秋山 繕輝; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2019
  • 再帰的データクラスタリグによるガウスカーネル密度推定を用いたドップラー速度推定法
    林拓海; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2018
  • マイクロ波乳癌アブレーションのためのリアルタイム画像化と複素誘電率推定の統合
    金澤和輝; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2018
  • マイクロ波非破壊検査のための逆散乱解析及びRPM法を統合した画像再構成法
    高橋蹴人; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2018
  • 分光RPM法による自動焦点テラヘルツ波イメージング
    松井貴丸; 木寺正平
    Oral presentation, Japanese, 応用物理学会 秋季学術講演会, Domestic conference
    Sep. 2018
  • "マイクロ波マンモグラフィのための境界抽出法と逆散乱解析法の融合"
    則武和輝; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2018
  • "マイクロ波乳癌アブレーションのための波形再構成に基づく高精度リアルタイム画像化法",
    金澤 和輝; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2018
  • "超時間分解能ドップラー速度推定法とCSフィルタを統合したレーダ立体画像化法"
    林 拓海; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2018
  • "UWB人体検出レーダのためのマルチスタティックRPM法の高精度化"
    秋山 繕輝; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2018
  • "壁透過UWBレーダのためのカーネルドップラ速度推定法による高時間分解能速度ベクトル推定法"
    薛 雅文; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2018
  • "マイクロ波エリプソメトリ法とRPM法の融合による誘電率推定法"
    鷹取龍緒; 黄勇; 工藤高裕; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2018
  • "UWB壁透過レーダのためのガウスカーネル密度推定に基づく超分解能ドップラ速度推定法"
    薛 雅文; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2017
  • "UWB近距離レーダのためのRPM法とエリプソメトリ法の融合による非接触誘電率推定法"
    鷹取龍緒; 黄勇; 工藤高裕; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2017
  • "壁透過UWBレーダのためのドップラ速度に基づく二回散乱波識別を用いたRPM法の高精度化"
    薛 雅文; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    25 Mar. 2017
  • "140GHz帯近距離マルチレーダのための評価関数近似を用いたRPM法の高速化"
    秋山 繕輝; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    25 Mar. 2017
  • "マイクロ波マンモグラフィのためのFDTD法による波形歪補正を用いた高精度乳房表面形状推定法",
    則武和輝; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    25 Mar. 2017
  • "マイクロ波非破壊立体イメージングのための交点抽出型拡張RPM法",
    高橋蹴人; 木寺正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    25 Mar. 2017
  • マルチスタティック型UWBレーダによる拡張Envelope法を用いた二層誘電体媒質境界推定法
    田中 理紗子; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    16 Mar. 2016
  • マイクロ波UWBレーダによる乳癌検知のためのEnvelope 法とFDTD法を用いた表面波抑圧法
    遠藤芙輝; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    16 Mar. 2016
  • 階層ベイズモデルに基づく圧縮センシングを用いた高分解能到来時間推定法
    茂呂 彰; 尚 方; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    16 Mar. 2016
  • 位相シフトサンプリング補正を用いた圧縮センシングによる到来時間推定の高精度化
    能戸優匠; 尚 方; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    16 Mar. 2016
  • 円型軌道合成開口レーダ画像に対するレイオーバ歪み補正法
    中村太一; 尚 方; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    16 Mar. 2016
  • 140GHz帯近距離レーダのためのドップラーに基づく距離クラスタリングを用いたRPM法の改良
    佐々木 優太; 尚 方; 木寺 正平; 桐本 哲郎; 佐保賢志; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    16 Mar. 2016
  • UWBレーダのための多偏波RPM法を用いたエッジ保存型立体目標外挿法
    鷹取龍緒; 木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    16 Mar. 2016
  • " 単一ドップラーライダのためのパラメトリック風速ベクトル推定法 "
    増尾 崇幸; 木寺 正平; 桐本 哲郎; 酒巻 洋; 鈴木信弘
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2015
  • " 140GHz帯近距離レーダのための距離点クラスタリングによるマルチスタ ティックRPM法の高速・高精度化 "
    佐々木 優太; 尚 方; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Domestic conference
    Sep. 2015
  • " 超広帯域近距離レーダのための高精度立体画像領域拡大法 "
    木寺 正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, Invited, Domestic conference
    Sep. 2015
  • 140GHz帯近距離レーダにおけるマルチスタティックモデルへのRPM法の拡張
    佐々木 優太; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2015
  • UWBレーダのための多偏波散乱解析とRPM法を用いた高精度立体画像外挿法
    山領 歩; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2015
  • 円偏波基底PolSAR画像を用いた自動目標認識法
    大野 翔平; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2015
  • 多偏波SAR画像の帯域分割コヒーレンスを用いた目標高度変化量推定法
    大山 良; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, Domestic conference
    Mar. 2015
  • 超広帯域レーダのための超分解能イメージング手法の研究
    木寺 正平
    Invited oral presentation, Japanese, 第57回自動制御連合講演会, Invited, 群馬 伊香保, Domestic conference
    10 Nov. 2014
  • 自動目標認識のための多偏波SAR画像特徴抽出法
    大野 翔平; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, 新潟大学, Domestic conference
    Sep. 2014
  • 単一ドップラーライダのための拡張VAD法を用いた高精度風速ベクトル推定法
    増尾 崇幸; 木寺 正平; 桐本 哲郎; 酒巻 洋; 鈴木信弘
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, 新潟大学, Domestic conference
    Sep. 2014
  • UWBレーダによる楕円体目標画像化のための偏波散乱解析
    山領 歩; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会, 新潟大学, Domestic conference
    Sep. 2014
  • 壁透過レーダのための高精度楕円目標外挿法
    谷口 貴耶; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, 新潟大学, Domestic conference
    Mar. 2014
  • UWBレーダによる誘電体内部画像化のための高精度誘電率推定法の実験的検討"
    真中 俊輝; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, 新潟大学, Domestic conference
    Mar. 2014
  • ＵＷＢレーダのための複数誘電層媒質の高精度誘電率推定法
    新實 琢哉; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, 新潟大学, Domestic conference
    Mar. 2014
  • 独立成分分析を用いたパルスドップラレーダのための移動目標検出法
    近藤 修利; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, 新潟大学, Domestic conference
    Mar. 2014
  • ＵＷＢレーダのための多偏波ＲＰＭ法による立体イメージング法
    山領 歩; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会, 新潟大学, Domestic conference
    Mar. 2014
  • UWBレーダのための多重散乱環境を利用した目標境界外挿法
    山領 歩; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2013
  • 自己組織化マップを用いたSAR画像認識法の高精度化
    大野翔平; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2013
  • マルチスタティックUWBレーダのための移動目標立体像再構成法
    山口 亮; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会,電子情報通信学会 総合大会
    Mar. 2013
  • 帯域分割コヒーレンス関数の位相干渉を用いた目標高度変化量分布推定法の実験的検討
    中俣 遼; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会,電子情報通信学会 総合大会
    Mar. 2013
  • 立体誘電媒質に対する再帰的散乱波形歪み補正を用いた高精度誘電率推定法
    相馬 竜之介; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会,電子情報通信学会 総合大会
    Mar. 2013
  • 交点導出型RPM法によるUWBレーダ高速立体像推定法
    木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会論文集,電子情報通信学会 ソサイエティ大会
    Sep. 2012
  • マルチスタティックUWBレーダを用いた複数移動目標イメージング法
    山口 亮; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2012
  • 帯域分割コヒーレンス関数の位相干渉を用いた目標高度変化量分布推定法
    中俣 遼; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2012
  • マルチスタティックUWBレーダを用いた誘電体内部画像化領域拡大法
    丹羽 祥尋; 木寺 正平; 桐本 哲郎
    Oral presentation, English, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2012
  • 再帰的散乱波形歪み補正を用いた高精度誘電率推定法
    中俣 遼; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会,電子情報通信学会 総合大会
    Mar. 2012
  • UWBレーダのための距離点群を用いた高精度楕円体境界外挿法
    阿部 頼明; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会,電子情報通信学会 総合大会
    Mar. 2012
  • 誘電体内部立体目標に対する高精度UWBレーダイメージング法
    阿久根 憲; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 総合大会,電子情報通信学会 総合大会
    Mar. 2012
  • 二重散乱波RPMを用いた影領域UWBレーダイメージング
    木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2011
  • 最尤規範独立成分分析とMUSICを併用した超分解能レーダパルス圧縮法
    岡野 哲大; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2011
  • マルチスタティックRPM法を用いた移動目標レーダイメージング
    山口 亮; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2011
  • 誘電体内部UWBレーダイメージングのための高速誘電率推定法
    相馬 竜之介; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2011
  • UWBレーダのための二重散乱波の距離微分を用いた立体影領域・高速イメージング法
    木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会,総合大会
    Mar. 2011
  • CCDモデルにおけるコヒーレンス関数の周波数干渉を用いた高度変化推定法
    星野 赳寛; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会,総合大会
    Mar. 2011
  • 最尤規範独立成分分析のパラメータ最適化による複素正弦波信号分離手法
    岡野 哲大; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会,総合大会
    Mar. 2011
  • UWBレーダのための距離点群を用いた高精度目標境界楕円外挿法
    阿部 頼明; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会,総合大会
    Mar. 2011
  • 誘電体内部目標に対する高速・高精度UWBレーダイメージング法
    阿久根 憲; 木寺 正平; 桐本 哲郎
    Oral presentation, Japanese, 電子情報通信学会,総合大会
    Mar. 2011
  • 回転目標モデルにおけるRPM法を用いた高速立体像再構成法
    山田浩之; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会,宇宙・航行エレクトロニクス研究会
    Feb. 2011
  • Detection Algorithm of Target Buried in Doppler Spectrum of Clutter Using PCA
    Waqas Muhammad; Shouhei Kidera; Tetsuo Kirimoto
    Oral presentation, English, 電子情報通信学会,宇宙・航行エレクトロニクス研究会
    Dec. 2010
  • 最尤規範独立成分分析法による複素正弦波信号の分離
    岡野哲大; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2010
  • 曲線走査軌道を用いた高精度UWBレーダイメージング法
    阿部頼明; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2010
  • 二重散乱波の距離点群を用いた高速・高精度影領域レーダイメージング法
    木寺正平
    Oral presentation, Japanese, 電子情報通信学会 ソサイエティ大会,電子情報通信学会 ソサイエティ大会
    Sep. 2010
  • レイオーバを用いた3次元レーダ画像再生のための目標点追跡アルゴリズム
    山田浩之; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会,総合大会
    Mar. 2010
  • 多重散乱波を用いたUWBレーダ影領域イメージング法の高速化
    阿久根憲; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会,総合大会
    Mar. 2010
  • アレイアンテナを用いた多重散乱波SARに基づくUWBレーダイメージング法
    木寺正平
    Oral presentation, Japanese, 電子情報通信学会,総合大会
    Mar. 2010
  • 独立成分分析を用いた超分解能レーダパルス圧縮法
    花城友太; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会,宇宙・航行エレクトロニクス研究会
    Jan. 2010
  • 参照波形最適化に基づく拡張Capon法を用いた高分解能UWBレーダイメージング法の実験的検討
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会 電磁界理論研究会,第38回電磁界理論シンポジウム
    Nov. 2009
  • 参照波形最適化に基づく拡張Capon法を用いた高解像度UWBレーダイメージング法
    木寺正平; 阪本卓也; 佐藤亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会ソサイエティ大会
    Sep. 2009
  • 複素対数変換を用いたレーダ画像の変化抽出法
    星野赳寛; 木寺正平; 桐本哲郎
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会ソサイエティ大会
    Sep. 2009
  • 微少結石検出のためのエコー信号間の相互相関とフィルタを用いた医用超音波イメージング法
    瀧 宏文; 木村 智樹; 木寺正平; 阪本卓也; 松田 哲也; 佐藤 亨
    Oral presentation, Japanese, 日本超音波医学会,日本超音波医学会第82回学術集会
    May 2009
  • 多重散乱合成開口に基づくUWBレーダ影領域立体イメージング手法
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2009
  • 適応平滑化処理を用いた超音波高解像度イメージングの実験的検討
    佐保賢志; 木村智樹; 木寺正平; 瀧 宏文; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2009
  • UWBレーダのための多重散乱波開口合成を用いた影領域イメージング
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電気学会 電子情報通信学会,電気学会 電子情報通信学会 電磁界理論研究会
    Jan. 2009
  • Extended Imaging Algorithms for Super-Resolution Radar Techniques
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Invited oral presentation, English, Proc. of Taiwan-Japan Joint Workshop on Inverse Problem,, Institute of Mathematics, Academia Sinica Taiwan, Taipei, Taiwan, International conference
    Nov. 2008
  • 複雑立体目標のためのファジィ推定を用いた高分解能UWBレーダ画像化手法
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会ソサイエティ大会
    Sep. 2008
  • 壁透過レーダのための高解像度立体像推定法の実験的検討
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電気学会,電気学会 基礎・材料・共通部門大会
    Aug. 2008
  • 適応的周波数補正を用いた雑音耐性の高いUWBパルスレーダ高解像度立体像推定法
    左保賢志; 木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 アンテナ伝搬研究会
    May 2008
  • 複雑目標境界のための角度ファジィ推定を用いたUWBレーダ高速画像化手法
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2008
  • 人体の歩行運動を利用したUWBレーダによる高速イメージング
    阪本卓也; 木寺正平; 佐藤 亨
    Oral presentation, Japanese, KJCIEE電気関係学会連合大会,KJCIEE電気関係学会連合大会
    Nov. 2007
  • 周波数シフト補正及び球群の包絡面を用いた超波長分解能 UWBレーダイメージング
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, KJCIEE電気関係学会連合大会,KJCIEE電気関係学会連合大会
    Nov. 2007
  • UWBパルスレーダのための周波数シフト補正を利用した高速・高精度立体像推定法の実験的検討
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 第36回電磁界理論シンポジウム
    Oct. 2007
  • UWBパルスレーダのための周波数シフトを利用した高速・高精度立体像推定法
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 ソサイエティ大会
    Sep. 2007
  • UWBパルスレーダのための線形アレイを用いた高解像度立体形状推定法の実験的検討
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 アンテナ伝搬研究会
    May 2007
  • SEABED法による高速立体イメージングのためのアレイアンテナを用いたUWBレーダシステムの実験的検証
    可児佑介; 木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2007
  • UWBパルスレーダによる高速画像化手法のためのカルマンフィルタを用いた多干渉条件下での特性改善
    関 鷹人; 木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2007
  • UWBパルスレーダのための球群の包絡面を利用した高速立体像推定法の安定化
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2007
  • 屋外実環境におけるUWBパルスレーダ散乱特性の実験的検討,"
    阪本卓也; 可児佑介; 木寺正平; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2007
  • Inverse problem in pulse radar imaging techniques
    Shouhei Kidera; Takuya Sakamoto; Toru Sato
    Invited oral presentation, English, Proc. of Taiwan-Japan Joint Workshop on Inverse Problem, Institute of Mathematics, Academia Sinica, Taiwan, Taipei, Taiwan, International conference
    Feb. 2007
  • UWBパルスレーダを用いた高速画像化のためのカルマンフィルタによる干渉散乱波除去アルゴリズム
    関 鷹人; 木寺正平; 阪本卓也; 佐藤 亨; 上原康生; 山田直之
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会, 宇宙・航行エレクトロニクス研究会(SANE)
    Feb. 2007
  • UWBパルスレーダのための散乱波形推定を用いた高速・高解像度物体像推定法の実験的検討
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 第35回電磁界理論シンポジウム
    Oct. 2006
  • UWBパルスレーダのための高速画像化手法の複雑形状物体への適用
    阪本卓也; 木寺 正平; 佐藤 亨; 杉野 聡
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 アンテナ伝搬研究会
    Sep. 2006
  • UWBパルスレーダのための円群の包絡線を利用した雑音耐性の高い高速物体像推定法
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会ソサイエティ大会
    Sep. 2006
  • 部分境界散乱変換とカルマンフィルタを用いた UWBパルスレーダのための干渉除去アルゴリズム
    関 鷹人; 木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会ソサイエティ大会
    Sep. 2006
  • UWBパルスレーダのための高速画像化手法の複雑形状物体への適用に関する検討
    関 鷹人; 木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2006
  • UWBパルスレーダのための高速物体像推定法の安定化
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 アンテナ・伝播研究会
    Feb. 2006
  • UWBパルスレーダのためのバイスタティックアンテナ型高速物体像推定法の開発
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 第34回電磁界理論シンポジウム
    Nov. 2005
  • 散乱波形推定を用いたUWBパルスレーダのための高解像度物体像推定法の開発
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会ソサィエティ大会
    Sep. 2005
  • 散乱波形推定を用いたUWBパルスレーダのための高精度物体像推定法の実験的検討
    木寺 正平; 阪本卓也; 佐藤 亨; 三谷 友彦; 杉野 聡
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2005
  • UWBパルスレーダのための高速立体形状推定法の実験的検討
    阪本卓也; 木寺 正平; 佐藤 亨; 三谷 友彦; 杉野 聡
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2005
  • UWBパルスレーダのための高精度目標形状推定法の実験的検討
    阪本卓也; 木寺 正平; 佐藤 亨; 三谷 友彦; 杉野 聡
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 全国共同利用化に向けた第8回生存圏シンポジウム
    Feb. 2005
  • UWBパルスレーダーのための高精度物体形状推定法の開発
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会 アンテナ・伝播研究会
    Sep. 2004
  • パルスレーダのための近似伝搬モデル及び波形辞書を併用した高精度物体形状推定法
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会総合大会
    Mar. 2004
  • UWBパルスレーダのための適応フィルタリングによる物体形状推定法
    木寺正平; 阪本卓也; 佐藤 亨
    Oral presentation, Japanese, 電子情報通信学会,電子情報通信学会ソサイエティ大会
    Sep. 2003

Courses

  • 情報通信工学/電子情報システム学 実験 A,B1,B2（世話人）
    Apr. 2024 - Present
  • 波動と光
    2018 - Present
    The University of Electro-Communications
  • Measurement Engineering
    2015 - Present
    The University of Electro-Communications
  • 生体電磁工学特論
    2015 - Present
    電気通信大学
  • 電子情報システム実験 第一（回路シミュレーション）
    2015 - 2023
    The University of Electro-Communications
  • リアルタイム制御系設計基礎論
    2010 - 2015
    電気通信大学
  • 知能機械工学基礎実験
    2012 - 2014
    The University of Electro-Communications
  • 基礎科学実験
    2010 - 2014
    The University of Electro-Communications
  • 制御系設計応用(高度ITプログラム)
    2009 - 2014
    電気通信大学

Affiliated academic society

  • 2018 - Present
    応用物理学会
  • 2005 - Present
    Institute of Electronics, Information and Communication Engineers
  • 2005 - Present
    Institute of Electrical and Electronics Engineers, Inc.
  • 2005 - Present
    Institute of Electrical Engineers in Japan

Research Themes

  • 電磁波センシングによる多元的双方向画像解析の研究
    木寺 正平
    科学技術振興機構(JST), 創発的研究支援事業, Principal investigator
    Apr. 2021 - Mar. 2028
  • ミリ波衝突防止センサのための超分解能法と深層学習の融合に基づく予測型画像化法の構築
    公益財団法人 スズキ財団, 課題提案型研究助成, Principal investigator
    Jun. 2024 - May 2026
    URL
  • マイクロ波乳癌診断及び治療のためのレーダとトモグラフィの双方向画像解析法
    木寺 正平
    日本学術振興会, 科学研究費補助金, 基盤研究B, Principal investigator
    Apr. 2023 - Mar. 2026
  • 革新的複素誘電率イメージングに基づくマイクロ波乳癌診断
    公益財団法人 G-7奨学財団, 研究助成(IT分野), Principal investigator
    Apr. 2024 - Mar. 2025
    URL
  • 多重散乱波と超高分解能画像化を統合した見通し外領域ミリ波センシングの研究
    木寺正平
    公益財団法人 住友電工グループ社会貢献基金, 研究助成, Principal investigator
    Oct. 2022 - Mar. 2024
  • 超広帯域マイクロ波を用いた超分解能生体内部イメージング法の研究
    木寺正平
    公益財団法人 旭硝子財団, 若手継続グラント, Principal investigator
    Apr. 2021 - Mar. 2024
  • マイクロ波レーダとトモグラフィの融合による複素誘電率定量イメージングを用いた空洞・鉄筋腐食識別についての技術研究開発
    国土交通省 新道路技術会議, 道路政策の質の向上に資する技術研究開発, 本格研究, Principal investigator
    Apr. 2021 - Mar. 2023
  • 多元情報の双方向処理に基づく超分解能レーダ画像化法の創出
    木寺 正平
    一般財団法人 テレコム先端技術支援センター（ＳＣＡＴ）, 研究助成, Principal investigator
    Apr. 2021 - Mar. 2023
  • レーダとトモグラフィを融合させた多元的電磁波画像解析の研究
    木寺正平
    日本学術振興会, 科学研究費補助金, 基盤研究B, Principal investigator
    Apr. 2020 - Mar. 2023
  • マイクロ波乳癌診断のための超高精度画像解析法に関する研究
    木寺 正平
    高橋産業経済研究財団, 研究助成, Principal investigator
    Apr. 2020 - Mar. 2022
  • マイクロ波レーダとトモグラフィの融合による複素誘電率定量イメージングを用いた空洞・鉄筋腐食識別についての技術研究開発
    木寺正平
    国土交通省, 新道路技術会議 「道路政策の質の向上に資する技術研究開発」, Principal investigator
    Apr. 2020 - Mar. 2021
  • ドップラ及び多重散乱データの双方向処理による多元的人体検出法
    木寺 正平
    Canon財団, 研究助成（産業基盤の創生）, Principal investigator
    Apr. 2019 - Mar. 2021
  • "超高精度画像化法と多偏波解析による誘電率推定を統合した革新的マイクロ波イメージング法の創出"
    木寺正平
    科学技術振興機構(JST), 戦略的創造研究推進事業（さきがけ）, Principal investigator
    Oct. 2017 - Mar. 2021
  • マイクロ波UWBレーダによる超分解能生体内部画像化法の研究
    木寺正平
    日本学術振興会, 科学研究費補助金, 基盤研究B, Principal investigator
    Apr. 2017 - Mar. 2020
  • マイクロ波医療画像診断・治療のための超分解能画像化及び識別法の開発
    木寺正平
    総務省, 戦略的情報通信研究開発推進事業（SCOPE）（若手ICT研究者等育成型研究開） フェーズII, Principal investigator
    Jan. 2017 - Mar. 2020
  • 超広帯域マイクロ波を用いた超分解能生体内部イメージング法の研究
    木寺正平
    公益財団法人 旭硝子財団, 研究奨励, Principal investigator
    Apr. 2017 - Mar. 2019
  • "マイクロ波によるコンクリート内部非破壊モニタリング法の開発"
    木寺正平
    科学技術振興機構(JST), 研究成果推進事業（地域産学バリュープログラムタイプ）, Principal investigator
    Oct. 2017 - Sep. 2018
  • 多偏波データと超分解能画像化法を融合したレーダ立体画像化法の研究
    木寺正平
    公益財団法人 中部電気利用基礎研究振興財団, 研究助成, Principal investigator
    Apr. 2017 - Mar. 2018
  • 超広帯域レーダのための偏波及び多重散乱波を用いた画像再現域拡大に関する研究
    桐本哲郎; 木寺正平
    日本学術振興会, 科学研究費補助金, 基盤研究B, Coinvestigator
    Apr. 2015 - Mar. 2018
  • 140GHz帯高精度レーダー研究開発
    木寺正平
    総務省, 受託研究 電波資源拡大のための研究開発, Coinvestigator
    Aug. 2014 - Mar. 2017
  • 超広帯域電磁波による超分解能誘電体内部イメージング法の研究
    木寺正平
    日本学術振興会, 科学研究費補助金, 若手研究A, Principal investigator
    Apr. 2014 - Mar. 2017
  • 超広帯域電磁波による超分解能誘電体内部イメージング法の研究（国際共同研究強化）
    木寺正平
    国際科学技術財団, 研究助成, 国際共同研究強化, Principal investigator
    Apr. 2016 - Sep. 2016
  • 偏波及び多重散乱解析を用いた超分解能内部画像化レーダに関する研究
    マツダ財団, 研究助成, Principal investigator
    Oct. 2015 - Sep. 2016
  • インフラ維持管理用ロボットにおける高分解能レーダ画像化処理法の開発
    キャンパスクリエイト（株式会社タウ技研）, 研究助成, Principal investigator
    Jun. 2015 - Feb. 2016
  • 超広帯域レーダによる超分解能立体画像化法
    木寺正平
    KDDI財団, 調査研究助成, Principal investigator
    2013 - 2015
  • 超広帯域レーダを用いた遠方界・不可視領域イメージングの研究
    木寺 正平
    テレコム先端技術支援センター（ＳＣＡＴ）, 研究助成, Principal investigator
    2013 - 2015
  • 超広帯域レーダによる超分解能非破壊・非侵襲計測技術の開発
    木寺正平
    総務省, 戦略的情報通信研究開発推進事業(SCOPE) 若手ICT研究者等育成型研究開発(フェーズI) ,, Principal investigator
    Aug. 2013 - Mar. 2014
  • 超広帯域レーダを用いた波長限界を超える超分解能非侵襲イメージング法の研究
    木寺 正平
    公益財団法人 矢崎科学技術振興記念財団, 奨励研究, Principal investigator
    2013 - 2014
  • 超広帯域レーダを用いた超分解能・非侵襲生体イメージング法の開発
    木寺 正平
    公益信託小澤・吉川記念エレクトロニクス研究助成基金, 研究助成, Principal investigator
    2013 - 2014
  • 超広帯域レーダを用いた超分解能・不可視領域イメージング法の研究
    木寺 正平
    公益財団法人 村田学術振興財団, 研究助成, Principal investigator
    2013 - 2014
  • 超広帯域レーダを用いた高分解能誘電体内部イメージングの研究
    木寺正平
    東電記念財団, 基礎研究助成, Principal investigator
    2011 - 2014
  • 自律移動型ロボットのための準遠方領域・超波長分解能レーダセンサの研究
    木寺 正平
    日本学術振興会, 科学研究費補助金, 若手研究B, Principal investigator
    Apr. 2011 - Mar. 2013
  • 拡張RPM法と多重散乱波を用いた超波長分解能・誘電体内部 UWBレーダセンサの研究
    木寺正平
    (財)倉田記念日立科学技術財団, 研究助成, Principal investigator
    2012 - 2013
  • 多重散乱波を用いた超波長分解能誘電体内部ＵＷＢレーダセンサの研究
    木寺 正平
    公益財団法人 立石科学技術振興財団, 研究助成, Principal investigator
    2012 - 2013
  • 超広帯域レーダによる高速・高精度立体画像化に関する研究
    木寺 正平
    財団法人 小笠原科学技術振興財団, 国際集会渡航助成, Principal investigator
    2012 - 2012
  • 超広帯域周波数干渉計を利用した高分解能内部レーダセンサの研究
    木寺正平
    中島記念国際交流財団, 日本人若手研究者研究助成金, Principal investigator
    2011 - 2012
  • 狭小観測領域下における超分解能・準遠方界UWBレーダイ メージング技術
    木寺正平
    公益財団法人 住友電工グループ社会貢献基金, 研究助成, Principal investigator
    2011 - 2012
  • 多重散乱環境を用いた衝突回避ロボットのための超波長分解能レーダ技術の研究
    桐本 哲郎; 木寺正平
    日本学術振興会, 科学研究費補助金, 基盤研究B, Coinvestigator
    2010 - 2012
  • 超波長解像度ＵＷＢレーダ技術の先駆的研究
    木寺 正平
    日本学術振興会, 科学研究費補助金, 若手研究（スタートアップ） ⇒ 研究活動スタート支援, Principal investigator
    Apr. 2009 - Mar. 2011
  • 超広帯域信号レーダのための多重散乱波を用いた影領域イメージングに関する研究
    木寺正平
    公益財団法人 矢崎科学技術振興記念財団, 国際会議渡航援助, Principal investigator
    2011 - 2011
  • UWBレーダによる多重散乱波を用いた超分解能イメージング技術
    木寺正平
    公益財団法人 中部電気利用基礎研究振興財団, 海外渡航助成, Principal investigator
    2011 - 2011
  • 超広帯域レーダを用いた室内環境計測・認識のための高分解能イメージング法の研究
    木寺正平
    カシオ科学振興財団, 研究助成, Principal investigator
    2010 - 2011
  • 超波長分解能ＵＷＢレーダ技術
    木寺正平
    日本学術振興会 国際会議等派遣事業, 海外渡航助成, Principal investigator
    2010 - 2010
  • アレイアンテナを用いた高分解能影領域UWBレーダ画像化の研究
    木寺正平
    電気通信普及財団, 海外渡航旅費援助, Principal investigator
    2010 - 2010

Industrial Property Rights

  • レーダ装置及びレーダ装置のアンテナ配列設定方法
    Patent right, 木寺 正平, イ スンジェ, 特願2024-179942, Date applied: 15 Oct. 2024, 電気通信大学
  • 非接触形状・誘電率測定装置、非接触形状・誘電率測定方法及び非接触形状・誘電率測定プログラム
    Patent right, 木寺正平, 花房 崇裕, 仲村慎吾, 工藤高裕, 特願2021- 3417, Date applied: Feb. 2021
  • 非接触形状・誘電率測定装置
    Patent right, 木寺正平, 鷹取龍緒, 工藤高裕, 黄勇, 特願2018-33708, Date applied: 27 Feb. 2018, 特開2019-148510, Date announced: 05 Sep. 2019
  • レーダ装置、目標形状推定方法及びプログラム
    Patent right, 佐々木優太, 木寺正平, 特願2016-023620, Date applied: 10 Feb. 2016, 特開2017-142164, Date announced: 17 Aug. 2017
  • 形状測定方法装置および該方法
    Patent right, 木寺正平, 阪本卓也, 佐藤亨, 特願 2007-185809, Date applied: 2007, 特開 2009-025030, Date announced: 2009
  • 形状測定装置及び該方法
    Patent right, 木寺正平, 阪本卓也, 佐藤亨, 特願2005-168863, 特開2006-343205, 特許第4143728, Date issued: 13 Sep. 2007

Social Contribution Activities

  • 出張講義
    Appearance, 都立小松川高等学校, 電磁波の透視能力, 東京, 高校二年生
    Oct. 2021
  • 夢ナビライブ2017
    Appearance, フロムページ, マイクロ波を用いた超解像度モニタリング技術, 東京ビックサイト, 高校生
    Jul. 2017
  • 出張講義
    Appearance, 東京学芸大附属国際中等教育学校, 電磁波の透視能力, 東京, 高校二年生
    Dec. 2016
  • 出張講義
    Appearance, 都立青山高等学校, 電磁波の透視能力, 東京, 高校二年生
    04 Dec. 2015
  • 出張講義
    Appearance, 都立科学技術高等学校, 電磁波の透視能力, 東京, 高校二年生
    04 Oct. 2015
  • 生涯学習支援等への貢献 やさしい科学技術セミナー 「電磁波の透視能力」
    Lecturer, https://www.youtube.com/watch?v=qeXxfycRlLI&feature=youtu.be 国際科学技術財団と電通大の共同で、高校生向けにわかりやすく研究内容を伝えるためのセミナーとして，やさしい科学セミナーを実施した． 60分で電磁波とその透視能力が波長によってさまざまに変わることを講義し，電波暗室の見学会やデモを実施した
    20 Jul. 2014 - 20 Jul. 2014
  • 研究成果の公開 電気通信大学 ユニーク＆エキサイティング研究探訪 2012年8月 掲載
    Others
    2012

Media Coverage

  • 乳がん検診支援
    日刊工業新聞, 経営ひと言, Paper
    26 Mar. 2024
    URL
  • マイクロ波を用いた検査により、乳がん検査の精度を高める
    Top Researchers, https://top-researchers.com/?p=175, Internet
    Sep. 2019
  • 電磁波 インフラ管理に活用
    建設通信新聞, Paper
    Aug. 2014
  • やさしい科学技術セミナー 電磁波の有用性 高校生に伝える
    科学新聞, Paper
    Aug. 2014
  • 電磁波の面白さ伝授
    建設通信新聞, Paper
    Jul. 2014
  • 電通大、分解能５倍超の３次元レーダー画像化法を開発－精度１ｍｍ単位
    日刊工業新聞, Paper
    May 2014
  • 3次元レーダー画像化 分解能5倍超 精度1mm単位
    日刊工業新聞, Paper
    May 2014
  • 拓く研究人(30) 高分解能レーダで立体画像化
    日刊工業新聞, Paper
    May 2014

Academic Contribution Activities

  • 2025 Photonics and Electromagnetics Research Symposium （PIERS 2025）, Technical Program Co-chair (SC5)
    Competition etc, Planning etc, 2024 - 2025
    URL
  • The Asia-Pasific International Conference on Synthetic Aperture Radar 2025, Tutorial Committee Member
    Competition etc, Planning etc, 2023 - 2025
    URL
  • 2024 URSI Atlantic Radio Science Meeting (AT-RASC URSI 2024) , Session Convener
    Academic society etc, Panel chair etc, 2023 - 2024
    URL
  • 2023 URSI General Assembly (URSI GASS 2023) , Session Convener
    Competition etc, Panel chair etc, 2022 - 2023, True
    URL