Volume 12 Issue 1
Feb.  2023
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Article Navigation >  Journal of Radars  > 2023  >  12(1): 186-196
GAI Jiyu, JIANG Wei, ZHANG Kaixiang, et al. A method for interrupted-sampling repeater jamming identification and suppression based on differential features[J]. Journal of Radars, 2023, 12(1): 186–196. doi: 10.12000/JR22058
Citation: GAI Jiyu, JIANG Wei, ZHANG Kaixiang, et al. A method for interrupted-sampling repeater jamming identification and suppression based on differential features[J]. Journal of Radars, 2023, 12(1): 186–196. doi: 10.12000/JR22058
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A Method for Interrupted-Sampling Repeater Jamming Identification and Suppression Based on Differential Features

DOI: 10.12000/JR22058
  • 1.

    Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China

  • 2.

    Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China

  • 3.

    Science and Technology on Electronic Information Control Laboratory, Chengdu 610036, China

  • 4.

    Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314019, China

Funds:  The National Natural Science Foundation of China (61771050), Science and Technology on Electronic Information Control Laboratory (6142105190313), The Natural Science Foundation of Chongqing (2020ZX3100039)
More Information
  • Corresponding author: CHEN Xinliang, chenxinliang@bit.edu.cn
  • Received Date: 2022-04-02
  • Rev Recd Date: 2022-05-24
    • Available Online: 2022-05-31
  • Publish Date: 2022-06-21
    Abstract
  • The interrupted-sampling repeater jammer can sample, store, process and transmit part of the radar transmitter signal multiple times and the fake targets will form on the radar receiver. To improve the radar performance in the aforementioned jamming scenario, in this study, a new signal differential feature extraction method is proposed, and a judgment criterion is formulated based on the difference between the target echo and the Interrupted-Sampling Repeater Jamming (ISRJ) in the differential feature space to effectively identify and suppress the ISRJ while achieving target detection. Simulation results show that the proposed method has a remarkable ISRJ suppression performance. The equivalent signal-to-noise ratio is improved by at least 4.2 dB compared with three typical time-frequency domain filtering algorithms.

     

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