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Volume 45 Issue 11
Nov.  2023
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LI Chao, ZHOU Kai, XIAO Benlong, YANG Maosong. Target Detection in the Interrupted-Sampling Repeater Jamming Background Based on Multi-subband Matching Filter Method[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3906-3917. doi: 10.11999/JEIT230740
Citation: LI Chao, ZHOU Kai, XIAO Benlong, YANG Maosong. Target Detection in the Interrupted-Sampling Repeater Jamming Background Based on Multi-subband Matching Filter Method[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3906-3917. doi: 10.11999/JEIT230740

Target Detection in the Interrupted-Sampling Repeater Jamming Background Based on Multi-subband Matching Filter Method

doi: 10.11999/JEIT230740
  • Received Date: 2023-07-20
  • Rev Recd Date: 2023-10-15
  • Available Online: 2023-10-26
  • Publish Date: 2023-11-28
  • Interrupted-Sampling Repeater Jamming (ISRJ) is an advanced radar interference, which is based on the under-sampling theory. The kind of this interference may introduce a train of false targets into the High-Resolution Range Profile (HRRP), and create some challenges for the target detection. To solve this dilemma, a multi-subband matching filter method is proposed. Firstly, the subband matching filters is obtained by the traditional matching filter. Then, the signal models of the subband matching filters are established by the difference between the ISRJ and the target echo. As the ISRJ is sensitive to the time width of the subband matching filter, a multi-subband matching filter method is presented for the target detection in ISRJ back-ground. Simulation results indicate that the ISRJ can be suppressed by the multi-subband matching filter without the prior information about the ISRJ, and the detection probability of the radar target can be above 80% when the signal to interference ratio of the radar is above –20 dB.
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