Turn off MathJax
Article Contents
Article Navigation >  Journal of Radars  > 2025  > Proofreading [2nd]
WANG Xuesong, PAN Jiameng, CHEN Long, et al. Multipath effects and suppression in reference channels of passive bistatic radar[J]. Journal of Radars, in press. doi: 10.12000/JR25155
Citation: WANG Xuesong, PAN Jiameng, CHEN Long, et al. Multipath effects and suppression in reference channels of passive bistatic radar[J]. Journal of Radars, in press. doi: 10.12000/JR25155
shu

Multipath effects and Suppression in Reference Channels of Passive Bistatic Radar

DOI: 10.12000/JR25155 CSTR: 32380.14.JR25155

  • State Key Laboratory of Automatic Target Recognition, National University of Defense Technology, Changsha 410073,China

Funds:  The National Natural Science Foundation of China (62201594, 62201588)
More Information
    Abstract
  • Non-cooperative bistatic radar exhibits significant application value for both civilian and military applications due to its anti-stealth and anti-jamming capabilities. However, its practical implementation faces challenges from unavoidable multipath interference and noise contamination in reference signals, stemming from uncontrollable radar illuminators and complex geographical environments. These effects substantially degrade the performance of cross-correlation processing between reference and echo signals compared with the ideal matched filter, resulting in stationary false targets. Such issues remain a critical bottleneck to operational deployment. This study systematically addresses these challenges by analyzing cross-correlation degradation under multipath and noise in the reference channel, and by establishing a quantitative mapping between multipath intensity, noise power, and detection probability. For Linear Frequency Modulated (LFM) signals, a dechirp-based multipath suppression algorithm is proposed. The algorithm exploits the inherent properties of LFM signals, transforming multipath components with different delays into distinct frequency offsets. Compared with mainstream Fractional Fourier Transform methods, this approach exhibits greater frequency separation among multipath components, enabling effective suppression with significantly reduced filter orders. The algorithm outperforms conventional methods in improving overall detection probability. Measured data processing in practical field-test scenarios (direct-path signals overwhelmed by strong multipath interference) validates the method’s efficacy in eliminating false targets, correcting range offsets, and enhancing detection probability.

     

    • FullText(HTML)
  • loading
    • References(27)
  • [1]
    郁成阳, 周婉婷, 徐海洲, 等. 非合作式双基地雷达系统设计与验证[J]. 雷达科学与技术, 2024, 22(2): 119–125. doi: 10.3969/j.issn.1672-2337.2024.02.001.

    YU Chengyang, ZHOU Wanting, XU Haizhou, et al. Non-cooperative bistatic radar system design and verification[J]. Radar Science and Technology, 2024, 22(2): 119–125. doi: 10.3969/j.issn.1672-2337.2024.02.001.
    [2]
    HORLBECK M, SCHEINER B, and WEIGEL R. Overview of passive radar and its receiver architectures to enhance safety in civil aviation: A comprehensive analysis of history, principles, and performance optimization strategies[J]. IEEE Microwave Magazine, 2024, 25(5): 53–71. doi: 10.1109/MMM.2024.3363991.
    [3]
    王森, 鲍庆龙, 潘嘉蒙, 等. 基于改进概率假设密度滤波器的非合作双基地雷达目标跟踪[J]. 系统工程与电子技术, 2023, 45(7): 2002–2009. doi: 10.12305/j.issn.1001-506X.2023.07.10.

    WANG Sen, BAO Qinglong, PAN Jiameng, et al. Target tracking for noncooperative bistatic radar based on improved probability hypothesis density filter[J]. Systems Engineering and Electronics, 2023, 45(7): 2002–2009. doi: 10.12305/j.issn.1001-506X.2023.07.10.
    [4]
    MAZUREK G, KULPA K, MALANOWSKI M, et al. Experimental seaborne passive radar[J]. Sensors, 2021, 21(6): 2171. doi: 10.3390/s21062171.
    [5]
    周昕, 易建新, 万显荣, 等. 基于低轨卫星机会照射源的无人机目标前向散射探测方法与实验[J]. 信号处理, 2024, 40(12): 2105–2115. doi: 10.12466/xhcl.2024.12.001.

    ZHOU Xin, YI Jianxin, WAN Xianrong, et al. Methods and experiments for forward scattering detection of UAV targets based on opportunistic illumination from low-orbit satellites[J]. Journal of Signal Processing, 2024, 40(12): 2105–2115. doi: 10.12466/xhcl.2024.12.001.
    [6]
    QIU Yanlong, ZHANG Jiaxi, CHEN Yanjiao, et al. Radar2: Passive spy radar detection and localization using COTS mmWave radar[J]. IEEE Transactions on Information Forensics and Security, 2023, 18: 2810–2825. doi: 10.1109/TIFS.2023.3268880.
    [7]
    TAYLOR A and POULLIN D. Drone detection using 4G-LTE-based passive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2025, 61(4): 8804–8820. doi: 10.1109/TAES.2025.3545000.
    [8]
    GOMEZ-DEL-HOYO P and SAMCZYNSKI P. Starlink-based passive radar for Earth's surface imaging: First experimental results[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 13949–13965. doi: 10.1109/JSTARS.2024.3437179.
    [9]
    HUANG Chuan, LI Zhongyu, LOU Mingyue, et al. BeiDou-based passive radar vessel target detection: Method and experiment via long-time optimized integration[J]. Remote Sensing, 2021, 13(19): 3933. doi: 10.3390/rs13193933.
    [10]
    MAKSYMIUK R, GOMEZ DEL HOYO P, ABRATKIEWICZ K, et al. 5G‐based passive radar on a moving platform—detection and imaging[J]. IET Radar, Sonar & Navigation, 2024, 18(12): 2414–2426. doi: 10.1049/rsn2.12559.
    [11]
    HUANG Chuan, LI Zhongyu, AN Hongyang, et al. Maritime moving target detection using multiframe recursion association in GNSS-based passive radar[J]. IEEE Sensors Journal, 2024, 24(5): 6380–6391. doi: 10.1109/JSEN.2023.3343924.
    [12]
    LIU Jun, LI Hongbin, and HIMED B. On the performance of the cross-correlation detector for passive radar applications[J]. Signal Processing, 2015, 113: 32–37. doi: 10.1016/j.sigpro.2015.01.006.
    [13]
    万显荣, 张德磊, 柯亨玉, 等. 全球性数字广播高频外辐射源雷达参考信号重构[J]. 系统工程与电子技术, 2012, 34(11): 2231–2236. doi: 10.3969/j.issn.1001-506X.2012.11.08.

    WAN Xianrong, ZHANG Delei, KE Hengyu, et al. Reference signal reconstruction of HF passive bistatic radar based on DRM digital broadcasting[J]. Systems Engineering and Electronics, 2012, 34(11): 2231–2236. doi: 10.3969/j.issn.1001-506X.2012.11.08.
    [14]
    MAHFOUDIA O, HORLIN F, and NEYT X. Performance analysis of the reference signal reconstruction for DVB-T passive radars[J]. Signal Processing, 2019, 158: 26–35. doi: 10.1016/j.sigpro.2018.12.016.
    [15]
    ZUO Luo, WANG Jun, ZHAO Te, et al. A joint low-rank and sparse method for reference signal purification in DTMB-based passive bistatic radar[J]. Sensors, 2021, 21(11): 3607. doi: 10.3390/s21113607.
    [16]
    李纪传. 无源雷达杂波对消关键技术及目标检测方法研究[D]. [博士论文], 中国科学院大学,2015.

    LI Jichuan. Research on Key Technology of Clutter Cancellation and Moving Target Detection Algorithm of Passive Radar[D].[Ph.D. dissertation], University of Chinese Academy of Sciences.2015.
    [17]
    朱家兵,洪一. 基于复倒谱技术的无源雷达直达波提纯方法[J]. 现代雷达, 2007(08): 75–78. doi: 10.16592/j.cnki.1004-7859.2007.08.022.

    ZHU Jiabing, HONG Yi. A Direct-path-wave Purified Approach to Passive Radar Based on Cepstrum Technique[J]. Modern Radar, 2007(08): 75–78. doi: 10.16592/j.cnki.1004-7859.2007.08.022.
    [18]
    XING Zhe and GAO Yong. A modulation classification algorithm for multipath signals based on cepstrum[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(7): 4742–4752. doi: 10.1109/TIM.2019.2955535.
    [19]
    陈刚, 王俊, 王珏, 等. 外辐射源雷达参考信号提纯方法[J]. 系统工程与电子技术, 2018, 40(1): 45–49. doi: 10.3969/j.issn.1001-506X.2018.01.07.

    CHEN Gang, WANG Jun, WANG Jue, et al. Reference signal purifying method in passive bistatic radar[J]. Systems Engineering and Electronics, 2018, 40(1): 45–49. doi: 10.3969/j.issn.1001-506X.2018.01.07.
    [20]
    SONG Jie, HE You, GUAN Jian, et al. Direct wave reconstruction of non-cooperative bistatic pulse radar using modified CMA+MMA algorithm[C]. 2009 IET International Radar Conference, Guilin, China, 2009: 1–5, doi: 10.1049/cp.2009.0206.
    [21]
    CARDINALI R, COLONE F, LOMBARDO P, et al. Multipath cancellation on reference antenna for passive radar which exploits FM transmission[C]. 2007 IET International Conference on Radar Systems, Edinburgh, UK, 2007: 1–5, doi: 10.1049/cp:20070668.
    [22]
    JIN Hongbin, LUO Weilin, LI Hao, et al. Underdetermined blind source separation of radar signals based on genetic annealing algorithm[J]. The Journal of Engineering, 2022, 2022(3): 261–273. doi: 10.1049/tje2.12108.
    [23]
    ABRATKIEWICZ K, SAMCZYŃSKI P J, RYTEL-ANDRIANIK R, et al. Multipath interference removal in receivers of linear frequency modulated radar pulses[J]. IEEE Sensors Journal, 2021, 21(17): 19000–19012. doi: 10.1109/JSEN.2021.3087319.
    [24]
    KANONA M E A, ALIAS M Y, HASSAN M K, et al. A machine learning based vehicle classification in forward scattering radar[J]. IEEE Access, 2022, 10: 64688–64700. doi: 10.1109/ACCESS.2022.3183127.
    [25]
    吴贞宇, 夏厚培. 基于HAF的混叠多分量LFM信号时域参数测量[J]. 电子科技, 2021, 34(4): 6–11. doi: 10.16180/j.cnki.issn1007-7820.2021.04.002.

    WU Zhenyu and XIA Houpei. Time domain parameter measurement of aliased multi-component LFM signals based on HAF[J]. Electronic Science and Technology, 2021, 34(4): 6–11. doi: 10.16180/j.cnki.issn1007-7820.2021.04.002.
    [26]
    LU Zhenkun, LI Shaohang, QIU Ji, et al. An efficient method for parameter estimation and separation of multi-component LFM signals[J]. Signal Processing, 2023, 207: 108964. doi: 10.1016/j.sigpro.2023.108964.
    [27]
    ABRATKIEWICZ K and SAMCZYŃSKI P. An adaptive spectrogram and accelerogram algorithm for electronic warfare applications[C]. 2020 IEEE International Radar Conference (RADAR), Washington, DC, USA, 2020: 530–535. doi: 10.1109/RADAR42522.2020.9114800.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML
    Article views(15) PDF downloads(3) Cited by()
    Proportional views
    Related

    京ICP备20021838号-14   Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return