Volume 11 Issue 3
Jun.  2022
Turn off MathJax
Article Contents
Article Navigation >  Journal of Radars  > 2022  >  11(3): 399-407
XIA Deping, ZHANG Liang, WU Tao, et al. A multiple interference suppression algorithm based on airborne bistatic polarization radar[J]. Journal of Radars, 2022, 11(3): 399–407. doi: 10.12000/JR21212
Citation: XIA Deping, ZHANG Liang, WU Tao, et al. A multiple interference suppression algorithm based on airborne bistatic polarization radar[J]. Journal of Radars, 2022, 11(3): 399–407. doi: 10.12000/JR21212
shu

A Multiple Interference Suppression Algorithm Based on Airborne Bistatic Polarization Radar

DOI: 10.12000/JR21212
  • 1.

    National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

  • 2.

    Nanjing Research Institute of Electronics Technology, Nanjing 210039, China

Funds:  The National Ministries Foundation
More Information
  • Corresponding author: XIA Deping, xiadeping@cetc.com.cn; ZHANG Liang, zhangliang@cetc.com.cn
  • Received Date: 2021-12-30
  • Accepted Date: 2022-03-16
  • Rev Recd Date: 2022-03-15
    • Available Online: 2022-03-24
  • Publish Date: 2022-04-06
    Abstract
  • To solve the problem of the simultaneous suppression of main-lobe and side-lobe interferences, this study applies polarization information as input to the airborne bistatic radar and constructs an airborne bistatic polarization-sensitive array. The method is mainly realized by bistatic polarization hierarchical suppression. First, the reconstructed covariance matrix methods are used to suppress the side-lobe interference of the primary and auxiliary radars, Further, the data received by the airborne bistatic radar are aligned in the time domain, Finally, the main-lobe interference steering vector of the primary and auxiliary radars is corrected, and polarization cancellation is used to suppress the main-lobe interference. The simulation results show that the bistatic polarization classification method can simultaneously suppress multiple main-lobe and side-lobe interferences, and considerably improve the anti-interference capability of the radar system.

     

    • FullText(HTML)
  • loading
    • References(21)
  • [1]
    王雪松. 雷达极化技术研究现状与展望[J]. 雷达学报, 2016, 5(2): 119–131. doi: 10.12000/JR16039

    WANG Xuesong. Status and prospects of radar polarimetry techniques[J]. Journal of Radars, 2016, 5(2): 119–131. doi: 10.12000/JR16039
    [2]
    施龙飞, 任博, 马佳智, 等. 雷达极化抗干扰技术进展[J]. 现代雷达, 2016, 38(4): 1–7, 29. doi: 10.16592/j.cnki.1004-7859.2016.04.001

    SHI Longfei, REN Bo, MA Jiazhi, et al. Recent developments of radar anti-interference techniques with polarimetry[J]. Modern Radar, 2016, 38(4): 1–7, 29. doi: 10.16592/j.cnki.1004-7859.2016.04.001
    [3]
    TAO Jianwu and CHANG Wenxiu. A novel combined beamformer based on hypercomplex processes[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(2): 1276–1289. doi: 10.1109/TAES.2013.6494413
    [4]
    TAO Jianwu. Performance analysis for interference and noise canceller based on hypercomplex and spatio-temporal-polarisation processes[J]. IET Radar, Sonar & Navigation, 2013, 7(3): 277–286. doi: 10.1049/iet-rsn.2012.0151
    [5]
    文才, 王彤, 吴亿锋, 等. 极化-空域联合抗机载雷达欺骗式主瓣干扰[J]. 电子与信息学报, 2014, 36(7): 1552–1559. doi: 10.3724/SP.J.1146.2013.01739

    WEN Cai, WANG Tong, WU Yifeng, et al. Deceptive mainlobe jamming suppression for airborne radar based on joint processing in polarizational and spatial domains[J]. Journal of Electronics &Information Technology, 2014, 36(7): 1552–1559. doi: 10.3724/SP.J.1146.2013.01739
    [6]
    GE Mengmeng, CUI Guolong, ZHANG Zhenghong, et al. Mainlobe jamming suppression via independent component analysis for polarimetric SIMO radar[C]. 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, Hangzhou, China, 2020: 1–5.
    [7]
    GE Mengmeng, CUI Guolong, YU Xianxiang, et al. Mainlobe jamming suppression with polarimetric multi-channel radar via independent component analysis[J]. Digital Signal Processing, 2020, 106: 102806. doi: 10.1016/j.dsp.2020.102806
    [8]
    LU Yawei, MA Jiazhi, SHI Longfei, et al. Multiple interferences suppression with space-polarization null-decoupling for polarimetrie array[J]. Journal of Systems Engineering and Electronics, 2021, 32(1): 44–52. doi: 10.23919/JSEE.2021.000006
    [9]
    AHMED A, SHOKRALLAH A M G, YUAN Zhao, et al. Deceptive jamming suppression in multistatic radar based on coherent clustering[J]. Journal of Systems Engineering and Electronics, 2018, 29(2): 269–277. doi: 10.21629/JSEE.2018.02.07
    [10]
    LI Qiang, ZHANG Linrang, ZHOU Yu, et al. Hermitian distance-based method to discriminate physical targets and active false targets in a distributed multiple-radar architecture[J]. IEEE Sensors Journal, 2019, 19(22): 10432–10442. doi: 10.1109/JSEN.2019.2926414
    [11]
    赵珊珊, 刘子威. 多站雷达主瓣干扰抑制方法研究[J]. 电子科技大学学报, 2020, 49(4): 584–589. doi: 10.12178/1001-0548.2019178

    ZHAO Shanshan and LIU Ziwei. Main-lobe jamming suppression method in multiple-radar system[J]. Journal of University of Electronic Science and Technology of China, 2020, 49(4): 584–589. doi: 10.12178/1001-0548.2019178
    [12]
    YU Hengli, LIU Nan, ZHANG Linrang, et al. An interference suppression method for multistatic radar based on noise subspace projection[J]. IEEE Sensors Journal, 2020, 20(15): 8797–8805. doi: 10.1109/JSEN.2020.2984389
    [13]
    YANG Yang, SU Hongtao, HUANG Junsheng, et al. Adaptive monopulse estimation in mainlobe jamming for multistatic radar[C]. 2018 IEEE Radar Conference, Oklahoma City, USA, 2018: 257–262.
    [14]
    黄大通, 崔国龙, 葛萌萌, 等. 多维信息联合的多基地雷达欺骗干扰抑制技术[J]. 信号处理, 2019, 35(8): 1324–1333. doi: 10.16798/j.issn.1003-0530.2019.08.006

    HUANG Datong, CUI Guolong, GE Mengmeng, et al. A suppression technique for deception jamming in multi-static radar system based on multi-dimensional information association[J]. Journal of Signal Processing, 2019, 35(8): 1324–1333. doi: 10.16798/j.issn.1003-0530.2019.08.006
    [15]
    XIA Deping, ZHANG Liang, WU Tao, et al. A mainlobe interference suppression algorithm based on bistatic airborne radar cooperation[C]. 2019 IEEE Radar Conference, Boston, USA, 2019: 1–6.
    [16]
    MENG Jinli and WANG Ning. Main-lobe jamming cancellation for multi-static radar by joint range-Doppler processing[J]. The Journal of Engineering, 2019, 2019(20): 6807–6810. doi: 10.1049/joe.2019.0617
    [17]
    孙闽红, 丁辰伟, 张树奇, 等. 基于统计相关差异的多基地雷达拖引欺骗干扰识别[J]. 电子与信息学报, 2020, 42(12): 2992–2998. doi: 10.11999/JEIT190634

    SUN Minhong, DING Chenwei, ZHANG Shuqi, et al. Recognition of deception jamming based on statistical correlation difference in a multistatic radar system[J]. Journal of Electronics &Information Technology, 2020, 42(12): 2992–2998. doi: 10.11999/JEIT190634
    [18]
    ZHAO Shanshan, ZHANG Linrang, ZHOU Yu, et al. Study of multistatic radar against false targets jamming using spatial scattering properties[C]. 2014 IEEE International Conference on Computer and Information Technology, Xi’an, China, 2014: 129–133.
    [19]
    宁立跃, 杨小鹏. 多基地极化雷达主瓣干扰抑制算法[J]. 信号处理, 2017, 33(12): 1571–1577. doi: 10.16798/j.issn.1003-0530.2017.12.007

    NING Liyue and YANG Xiaopeng. Multi-base polarization radar main-lobe interference suppression algorithm[J]. Journal of Signal Processing, 2017, 33(12): 1571–1577. doi: 10.16798/j.issn.1003-0530.2017.12.007
    [20]
    ZHU Xingyu, XU Xu, and YE Zhongfu. Robust adaptive beamforming via subspace for interference covariance matrix reconstruction[J]. Signal Processing, 2020, 167: 107289. doi: 10.1016/j.sigpro.2019.107289
    [21]
    LI Jian, STOICA P, and WANG Zhisong. On robust Capon beamforming and diagonal loading[J]. IEEE Transactions on Signal Processing, 2003, 51(7): 1702–1715. doi: 10.1109/TSP.2003.812831
    • 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(1175) PDF downloads(143) Cited by()
    Proportional views
    Related

    京ICP备20021838号-8   Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return