Trilinear decomposition-based spatial-polarisational filter method for deception jamming suppression of radar

被引:23
|
作者
Xiong, Wei [1 ,2 ]
Zhang, Gong [1 ]
Wen, Fangqing [1 ]
Zhang, Yu [1 ]
Yin, Jiejun [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Sch Elect & Informat Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Aviat Ind Corp China, Leihua Elect Technol Res Inst, Wuxi 214063, Peoples R China
来源
IET RADAR SONAR AND NAVIGATION | 2016年 / 10卷 / 04期
关键词
MULTIPLE-OUTPUT RADAR; ANGLE ESTIMATION; PULSE DIVERSITY; SIGNALS; ARRAY; DRFM;
D O I
10.1049/iet-rsn.2015.0348
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study focuses on the problem of deception jamming suppression for a radar system and an effective spatial-polarisational filter strategy is outlined based on the spatial and polarisational parameter joint estimates. It can make the false target filtered effectively and the desired target remained with an improved signal-to-jammer-noise ratio. In this scheme, the trilinear decomposition model is first employed to obtain paired 2D direction of arrive and polarisation parameter joint estimates of the target and jammer. Then a spatial-polarisational oblique projection filter operator based on the joint estimates is constructed and utilised to project the received mixed return of radar onto to the target echo sublinear space so as to suppress the jamming. Meanwhile, the complexity of the above jamming suppression algorithm is presented and the working flow of a radar system equipped with a polarisation sensitive array for countering the deception jammer is also presented. Simulation results demonstrate the performance of the proposed scheme.
引用
收藏
页码:765 / 773
页数:9
相关论文
共 43 条
  • [1] Method against radar's deception jamming based on particle filter
    Tang, Gaodi, 1600, Editorial Office of High Power Laser and Particle Beams (26):
  • [2] Improved trilinear decomposition-based method for angle estimation in multiple-input multiple-output radar
    Li, Jianfeng
    Zhou, Ming
    IET RADAR SONAR AND NAVIGATION, 2013, 7 (09): : 1019 - 1026
  • [3] An Antideceptive Jamming Method for Multistatic Synthetic Aperture Radar Based on Collaborative Localization and Spatial Suppression
    Wang, Wenjing
    Wu, Junjie
    Pei, Jifang
    Mao, Xinyu
    Yang, Jianyu
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 2757 - 2768
  • [4] Active Deception Jamming Recognition Method in Multimodal Radar Based on Small Samples
    Zhang S.
    Chen S.
    Chen X.
    Liu Y.
    Wang W.
    Journal of Radars, 2023, 12 (03) : 887 - 891
  • [5] Radar Deception Jamming Recognition Method Based on Domain Adaptation and Attention Mechanism
    Sun Minhong
    Chen Xinwei
    Qiu Zhaoyang
    Teng Xuyang
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2022, 44 (11) : 3891 - 3899
  • [6] Two-Dimensional Direction-of-Arrival Estimation for Trilinear Decomposition-Based Monostatic Cross MIMO Radar
    Wen, Fangqing
    Zhang, Gong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [7] A suppression method against range deception jamming based on homologous localisation test
    Huang, Datong
    Cui, Guolong
    Ge, Mengmeng
    Yu, Xianxiang
    Kong, Lingjiang
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (20): : 6961 - 6965
  • [8] Real-value-based trilinear decomposition-based direction estimation algorithm for bistatic MIMO radar in the presence of mutual coupling
    Yang K.
    Wen F.
    Huang D.
    Zhang L.
    Wang K.
    Wen, Fangqing (wfqltt@163.com), 2018, Chinese Institute of Electronics (40): : 314 - 321
  • [9] A Distributed Interference Source Forwarding Deception Jamming Method Based on Spatial Domain
    Wan, Guibin
    Yao, Wang
    Zeng, Zhi
    Li, Haobo
    Gao, Yan
    Ma, Xiao
    2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024, 2024,
  • [10] Suppression of Deception-False-Target Jamming for Active/Passive Netted Radar Based on Position Error
    Han, Xiaofei
    He, Huafeng
    Zhang, Qi
    Yang, Lihao
    He, Yaomin
    IEEE SENSORS JOURNAL, 2022, 22 (08) : 7902 - 7912