Integrated Jamming Perception and Parameter Estimation Method for Anti-interrupted Sampling Repeater Jamming

被引:0
|
作者
Wang, Rongqing [1 ]
Xie, Jingyang [1 ]
Tian, Biao [1 ]
Xu, Shiyou [1 ]
Chen, Zengping [1 ]
机构
[1] School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen,518107, China
基金
中国国家自然科学基金;
关键词
Echo suppression - Edge detection - Image coding - Image segmentation - Jamming - Matched filters - Radar signal processing - Radar target recognition - Signal sampling - Telecommunication repeaters - Time difference of arrival;
D O I
10.12000/JR24153
中图分类号
学科分类号
摘要
Interrupted Sampling Repeater Jamming (ISRJ) is a type of intra-pulse coherent jamming that can easily generate false targets resembling real ones, thus posing a severe threat to radar systems. Traditional methods for countering ISRJ techniques are relatively passive and often fail to adapt to evolving jamming techniques, leading to residual jamming effects and signal loss. To improve radar’s anti-jamming capabilities, a novel scheme integrating jamming perception, parameter estimation, and jamming suppression has been developed in this study. This method begins by using a bidirectional double sliding window pulse edge detector and a sliding truncated matched filter. These devices are used to extract the ISRJ components of received radar signals and accurately estimate the parameters such as sampling duration and period. The jamming components are then reconstructed and eliminated, allowing for effective target detection. Simulation experiments demonstrate that the proposed method effectively overcomes ISRJ across different modulation modes with almost no loss of signal energy. When the jamming-to-noise ratio is 9 dB, the method boosts the signal-to-jamming ratio by over 33 dB after jamming suppression, ensuring robust anti-ISRJ performance. © The Author(s) 2024.
引用
收藏
页码:1337 / 1354
相关论文
共 50 条
  • [21] An Improved Sliding Matched Filter Method for Interrupted Sampling Repeater Jamming Suppression Based on Jamming Reconstruction
    Lu, Lu
    Gao, Meiguo
    IEEE SENSORS JOURNAL, 2022, 22 (10) : 9675 - 9684
  • [22] Optimal design of anti-interrupted sampling repeater jamming waveform for missile-borne radar based on an improved genetic algorithm
    Cao, Fei
    Chen, Zi-han
    Feng, Xiao-wei
    He, Chuan
    Xu, Jian-feng
    IET SIGNAL PROCESSING, 2021, 15 (09) : 622 - 632
  • [23] Improved Interrupted Sampling Repeater Jamming Based on DRFM
    Li Chuan-zhong
    Su Wei-min
    Gu Hong
    Ma Chao
    Chen Jin-li
    2014 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC), 2014, : 254 - 257
  • [24] Adaptive Parameter Estimation for Compound Interrupted Sampling and Repeating Jamming
    Liu, Liyi
    Lv, Qinzhe
    Liu, Junliang
    Wu, Yaojun
    Quan, Yinghui
    IEEE SIGNAL PROCESSING LETTERS, 2024, 31 : 496 - 500
  • [25] Study on generating method of interrupted non-uniform sampling repeater jamming
    Wu C.
    Chen B.
    1600, Chinese Institute of Electronics (43): : 1 - 10
  • [26] An Energy Distribution Correlation Judgment Method for Interrupted Sampling Repeater Jamming Suppression
    Li J.
    Su F.
    Wang W.
    Yan R.
    Li J.
    Progress In Electromagnetics Research B, 2024, 105 : 59 - 78
  • [27] Interrupted Sampling Repeater Jamming Recognition and Suppression Method Based on DBSCAN Algorithm
    Zhong, Qi
    He, Zhiyi
    Wei, Shaoren
    IEEE ACCESS, 2024, 12 : 62597 - 62608
  • [28] Anti-interrupted sampling repeater jamming based on intra-pulse frequency modulation slope agile radar waveform joint FrFT
    Wang, Xiaoge
    Li, Binbin
    Liu, Weijian
    Chen, Hui
    Zhu, Yongzhe
    Ni, Mengyu
    DIGITAL SIGNAL PROCESSING, 2024, 147
  • [29] Interrupted Sampling Repeater Jamming Recognition Method Based on Wavelet Packet Transform
    Zhong, Qi
    Fan, Shoutao
    He, Zhiyi
    Liu, Jianxin
    IEEE ACCESS, 2025, 13 : 13175 - 13186
  • [30] Anti-interrupted-sampling repeater jamming method based on frequency agility waveform and sparse recovery
    Ji, Yunhao
    Wei, Shan
    Lu, Yaobing
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2024, 2024 (01)