Volume 8 Issue 1
Mar.  2019
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Article Navigation >  Journal of Radars  > 2019  >  8(1): 100-106
ZHOU Chao, LIU Quanhua, and HU Cheng. Time-frequency analysis techniques for recognition and suppression of interrupted sampling repeater jamming[J]. Journal of Radars, 2019, 8(1): 100–106. doi: 10.12000/JR18080
Citation: ZHOU Chao, LIU Quanhua, and HU Cheng. Time-frequency analysis techniques for recognition and suppression of interrupted sampling repeater jamming[J]. Journal of Radars, 2019, 8(1): 100–106. doi: 10.12000/JR18080
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Time-frequency Analysis Techniques for Recognition and Suppression of Interrupted Sampling Repeater Jamming

DOI: 10.12000/JR18080

  • School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

  • Key Laboratory of Embedded Real-time Information Processing Technology, Beijing 100081, China

Funds:  The 111 Project of China (B14010), The Chang Jiang Scholar Program (T2012122)
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  • Corresponding author: LIU Quanhua, liuquanhua@bit.edu.cn
  • Received Date: 2018-09-25
  • Rev Recd Date: 2018-12-14
    • Available Online: 2019-01-24
  • Publish Date: 2019-02-28
    Abstract
  • Through partial intercepting and multiple forwarding of a radar transmitting signal, Digital Radio Frequency Memory (DRFM)-based Interrupted Sampling Repeater Jamming (ISRJ) possesses advantages of small size, light weight, and flexibility. Thus, DRFM-ISRJ can be equipped on targets to perform multi-point source main-lobe jamming, posing a serious threat to modern radars. In this study, a time-frequency domain recognition and suppression method was analyzed. First, the expression of pulse compression and Time-Frequency Distribution (TFD) of the jamming signal were deduced. Then, the differences of TFD between target echo and jamming signal were analyzed. On this basis, a jamming recognition program and a time-frequency domain filter to suppress the jamming were proposed. Simulation results show that the recognition rate is better than 90% when the jamming-to-noise ratio is over –3 dB for the received signal. Based on correct recognition, a signal to jamming-and-noise ratio improvement of 18 dB can be achieved using the time-frequency filter.

     

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