An Improved Range-Doppler Imaging Algorithm Based on High-Order Range Model for Near-Field Panoramic Millimeter-Wave ArcSAR

被引:4
|
作者
Wang, Haochuan [1 ]
Sun, Bing [1 ]
Li, Chunsheng [1 ]
Jiang, Yuming [1 ]
Yang, Wei [1 ]
机构
[1] Beihang Univ Beijing Univ Aeronaut & Astronaut BUA, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Arc synthetic aperture radar (ArcSAR); millimeter wave; near-field observation; range Doppler (RD); series inversion; SAR SYSTEM;
D O I
10.1109/TGRS.2023.3290646
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The ground-based arc synthetic aperture radar (ArcSAR) can realize panoramic observation by utilizing the circular motion of the antenna. Since the circular trajectory of the antenna brings complicated high-order range-azimuth coupling in echo signal, far-field approximation (FFA), reference range approximation, or second-order series approximation to the range model are commonly applied for the conventional fast imaging algorithms to decouple the range-azimuth coupling. However, when a wide-beam millimeter-wave radar system is adopted to realize centimeter-level high-resolution imaging for near-field observation, these approximate treatments will cause severe defocusing in the image. In this article, an improved range-Doppler (RD) imaging algorithm is proposed. The high-order Taylor series approximation to the range model is adopted to meet the error requirement in the near-field wide-beam condition. By using the series inversion method, the analytical expressions for range migration and azimuth matched filter in RD domain are derived to achieve range-azimuth decoupling and precise azimuthal focusing within the whole range swath. Simulations and real-data experiments demonstrate that the proposed algorithm can achieve fast and accurate imaging, which can greatly support the millimeter-wave ArcSAR in near-field observation applications.
引用
收藏
页数:16
相关论文
共 40 条
  • [11] Fast Near-field Millimeter-Wave Imaging Algorithm via Generalized Approximate Message Passing
    Gao L.
    Bi D.-J.
    Peng L.-B.
    Xie Y.-L.
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2019, 48 (02): : 168 - 173
  • [12] Millimeter-Wave Sparse Imaging for Concealed Objects Based on Sparse Range Migration Algorithm
    Ding, Li
    Wu, Shuxian
    Li, Ping
    Zhu, Yiming
    IEEE SENSORS JOURNAL, 2019, 19 (16) : 6721 - 6728
  • [13] Millimeter-wave imaging using accelerated coherence factor based range migration algorithm
    Guo, Qijia
    Li, Chao
    Zhou, Tian
    Li, Haisen
    Huang, Jie
    OPTIK, 2020, 222
  • [14] High-Resolution Millimeter-wave Near-field Imaging with Reconstruction Algorithm Based on Antenna-radiation-pattern Deconvolution Processing
    Kojima, T.
    Mochizuki, S.
    Togo, H.
    Kukutsu, N.
    2012 ASIA-PACIFIC MICROWAVE CONFERENCE (APMC 2012), 2012, : 679 - 681
  • [15] High resolution radar focusing using spectral estimation methods in wide-band and near-field configurations: Application to millimeter-wave near-range imaging
    Jouadé A.
    Ferro-Famil L.
    Méric S.
    Lafond O.
    Le Coq L.
    Progress In Electromagnetics Research B, 2017, 79 : 45 - 64
  • [16] An Applied Frequency Scaling Algorithm Based on Local Stretch Factor for Near-Field Miniature Millimeter-Wave Radar Imaging
    Xue, Biao
    Zhang, Gong
    Leung, Henry
    Wang, Lin
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2022, 70 (05) : 2786 - 2801
  • [17] Nondestructive high spatial resolution imaging with a 60 GHz near-field scanning millimeter-wave microscope
    Kim, M
    Kim, J
    Kim, H
    Kim, S
    Yang, JG
    Yoo, H
    Kim, S
    Lee, K
    Friedman, B
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2004, 75 (03): : 684 - 688
  • [18] Near-Field Three-Dimensional Planar Millimeter-Wave Holographic Imaging by Using Frequency Scaling Algorithm
    Zhang, Ye
    Deng, Bin
    Yang, Qi
    Gao, Jingkun
    Qin, Yuliang
    Wang, Hongqiang
    SENSORS, 2017, 17 (10)
  • [19] Noninterpolated frequency-domain imaging algorithm for near-field OS-BiSAR in the millimeter-wave band
    Chen, Xu
    Wang, Hongqiang
    Yang, Qi
    Zeng, Yang
    Deng, Bin
    APPLIED OPTICS, 2022, 61 (08) : E1 - E7
  • [20] Static Hand Gesture Recognition Based on Millimeter-Wave Near-Field FMCW-SAR Imaging
    Hao, Zhanjun
    Wang, Ruidong
    Peng, Jianxiang
    Dang, Xiaochao
    ELECTRONICS, 2023, 12 (19)