GNSS World of China

Volume 48 Issue 3
Jun.  2023
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TANG Tao, WANG Pengbo, CHEN Jie, ZHOU Xinkai, ZENG Hongcheng. Ground moving target imaging method study using GNSS-based passive bistatic radar[J]. GNSS World of China, 2023, 48(3): 24-32. doi: 10.12265/j.gnss.2023042
Citation: TANG Tao, WANG Pengbo, CHEN Jie, ZHOU Xinkai, ZENG Hongcheng. Ground moving target imaging method study using GNSS-based passive bistatic radar[J]. GNSS World of China, 2023, 48(3): 24-32. doi: 10.12265/j.gnss.2023042

Ground moving target imaging method study using GNSS-based passive bistatic radar

doi: 10.12265/j.gnss.2023042
  • Received Date: 2023-03-13
  • Passive bistatic radar based on Global Navigation Satellite System (GNSS) is a potential space-based radar system, which has the advantages of low power consumption and good concealment. Due to the low signal power density, it is necessary to increase the target signal-to-noise ratio through long-time integration. However, target motion will cause range migration and Doppler spread, and the traditional pulse doppler radar processing method is no longer applicable. Aiming at this problem, this paper proposes a moving target imaging method based on Radon Fourier transform (RFT). Firstly, by adding the Doppler rate compensation factor to the traditional RFT method, the three-dimensional parameters of the moving target are jointly searched and estimated. And then through parameters compensation to complete the target imaging in the range Doppler domain. This method not only considers the influence of Doppler phase modulation, but also realizes rapid deployment in the range frequency domain, which can achieve a better imaging effect than traditional methods. The performance of the proposed method is verified based on the actual experiment using GPS satellite as the illuminator of opportunity.

     

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  • [1]
    KUSCHEL H, CRISTALLINI D, OLSEN K E. Tutorial: passive radar tutorial[J]. IEEE aerospace and electronic systems magazine, 2019, 34(2): 2-19. DOI: 10.1109/MAES.2018.160146
    [2]
    杨东凯, 李晓辉, 王峰. GNSS反射信号海洋遥感应用现状分析[J]. 无线电工程, 2019, 49(10): 843-848.
    [3]
    刘原华, 何孟然, 牛新亮. GNSS-R海面风速反演技术研究[J]. 全球定位系统, 2020, 45(2): 55-59.
    [4]
    严颂华, 龚健雅, 张训械, 等. GNSS-R测量地表土壤湿度的地基实验[J]. 地球物理学报, 2011, 54(11): 2735-2744.
    [5]
    范学祯, 刘飞峰, 张天, 等. 基于北斗导航卫星的BiSAR大场景成像[J]. 信号处理, 2017, 33(4): 546-550.
    [6]
    田卫明, 曾涛, 胡程. 基于导航信号的BiSAR成像技术[J]. 雷达学报, 2013, 2(1): 39-45.
    [7]
    CHERNIAKOV M, SAINI R, ZUO R, et al. Space-surface bistatic synthetic aperture radar with global navigation satellite system transmitter of opportunity-experimental results[J]. IET radar, sonar & navigation, 2007, 6(1): 447-458. DOI: 10.1049/iet-rsn:20060172
    [8]
    李中余, 黄川, 武俊杰, 等. 基于GNSS的无源雷达海面目标检测技术综述[J]. 雷达科学与技术, 2020, 18(4): 404-416.
    [9]
    王博, 朱云龙, 高超群, 等. GNSS-R双基SAR运动目标成像技术探讨[J]. 导航定位学报, 2019, 7(1): 59-64.
    [10]
    MA H, ANTONIOU M, PASTINA D, et al. Maritime moving target indication using passive GNSS-based bistatic radar[J]. IEEE transactions on aerospace and electronic systems, 2018, 54(1): 115-130. DOI: 10.1109/TAES.2017.2739900
    [11]
    PIERALICE F, SANTI F, PASTINA D, et al. GNSS-based passive radar for maritime surveillance: long integration time MTI technique[C]//IEEE Radar Conference (RadarConf), 2017.
    [12]
    何振宇, 杨扬, 陈武, 等. 基于GPS-R的双基地SAR移动目标成像方法研究[J]. 遥感学报, 2022, 26(12): 2555-2567.
    [13]
    XU J, YU J, PENG Y N, XIA X G, et al. Radon-Fourier transform for radar target detection, I: generalized doppler filter bank[J]. IEEE transactions on aerospace and electronic systems, 2011, 47(2): 1186-1202. DOI: 10.1109/TAES.2011.5751251
    [14]
    XU J, XIA X G, PENG S B, et al. Radar maneuvering target motion estimation based on generalized Radon-Fourier transform[J]. IEEE transactions on signal processing, 2012, 60(12): 6190-6201. DOI: 10.1109/TSP.2012.2217137
    [15]
    XU J, ZHOU X, QIAN L C, et al. Hybrid integration for highly maneuvering radar target detection based on generalized radon-fourier transform[J]. IEEE transactions on aerospace and electronic systems, 2016, 52(5): 2554-2561. DOI: 10.1109/TAES.2016.150076
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