A Novel Interrupted-Sampling Repeater Jamming Suppression Method Based on Time-Frequency Analysis and Target Sparse Reconstruction

Interrupted-sampling repeater jamming (ISRJ) is a new kind of coherent jamming for linear frequency modulation (LFM) signals. Based on digital radio frequency memory (DRFM), ISRJ can generate multiple false target groups by intercepting, storing, and retransmitting radar signal fragments, which sign...

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Bibliographic Details
Published inInternational journal of antennas and propagation Vol. 2022; pp. 1 - 17
Main Authors Wang, Zijian, Li, Jiamu, Yu, Wenbo, Luo, Yunhua, Yu, Zhongjun
Format Journal Article
LanguageEnglish
Published New York Hindawi 26.10.2022
Hindawi Limited
Subjects
Accuracy
Adaptive filters
Design techniques
Entropy (Information theory)
Feature extraction
Frequency modulation
Interception
Jamming
Methods
Neural networks
Parameter estimation
Radar equipment
Radar systems
Reconstruction
Sampling
Target acquisition
Target recognition
Time-frequency analysis
Unmanned aerial vehicles
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Summary:Interrupted-sampling repeater jamming (ISRJ) is a new kind of coherent jamming for linear frequency modulation (LFM) signals. Based on digital radio frequency memory (DRFM), ISRJ can generate multiple false target groups by intercepting, storing, and retransmitting radar signal fragments, which significantly affects the postprocessing results of radar systems. Furthermore, due to the fragment interception of ISRJ, ISRJ false targets present a regular and discontinuous time-frequency (TF) distribution in contrast with real targets. Considering this intrinsic property and the coherent nature of ISRJ, this study proposes a new method based on TF analysis and target sparse reconstruction to address the ISRJ suppression issue. In this method, the echo signal is first sparsely represented to obtain both the real and false target positions. Then, according to the acquired target positions, information entropy features of targets are extracted in TF data for subsequent target identification. Finally, guided by the identification result, the real targets can be retained and reconstructed by adaptive filtering in the sparse domain to realize ISRJ suppression. Simulations have validated the effectiveness of the proposed method under various situations.
ISSN:1687-5869
1687-5877
DOI:10.1155/2022/2812456