Interrupted-sampling repeater jamming recognition based on the PC-LFM waveform

The interrupted-sampling repeater jamming (lSRJ) can cause a series of false targets after pulse compression by quickly sampling and forwarding radar signals, which poses a significant threat to radar performance. This paper proposes a new electronic counter-countermeasures (ECCM) method based on the phase-coded linear frequency modulation (PC-LFM) waveform. In particular, by leveraging the de-chirping operation on the obtained PC-LFM waveform, a novel processing scheme is developed to explore the disparity features between the target and the ISRJ in the range profile. As a result, a target detection method is proposed to identify interference based on these feature differences. Simulation results verify the effectiveness of the proposed target recognition method.

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Publication Details

Published
2025-03-31
DOI
https://doi.org/10.1117/12.3061812
Primary Topic
Wireless Signal Modulation Classification
Type
article
Field-Weighted Citation Impact
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article

Interrupted-sampling repeater jamming recognition based on the PC-LFM waveform

Xianxiang Yu, Yi Bu, Xiaobo Yang, Guolong Cui
Wireless Signal Modulation Classification
article

Interrupted-sampling repeater jamming recognition based on the PC-LFM waveform

Xianxiang Yu, Yi Bu, Xiaobo Yang, Guolong Cui
article en

Abstract

The interrupted-sampling repeater jamming (lSRJ) can cause a series of false targets after pulse compression by quickly sampling and forwarding radar signals, which poses a significant threat to radar performance. This paper proposes a new electronic counter-countermeasures (ECCM) method based on the phase-coded linear frequency modulation (PC-LFM) waveform. In particular, by leveraging the de-chirping operation on the obtained PC-LFM waveform, a novel processing scheme is developed to explore the disparity features between the target and the ISRJ in the range profile. As a result, a target detection method is proposed to identify interference based on these feature differences. Simulation results verify the effectiveness of the proposed target recognition method.

University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 97%
Wireless Signal Modulation Classification
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