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一种基于压缩感知的抗转发式间歇采样干扰方法

An Anti-Jamming Method against Interrupted Sampling Repeater Jamming Based on Compressed Sensing.

作者信息

Liu Yingxi, Zhang Qun, Liu Zhidong, Li Guangming, Xiong Shichao, Luo Ying

机构信息

The Institute of Information and Navigation, Air Force Engineering University, Xi'an 710077, China.

The Collaborative Innovation Center of Information Sensing and Understanding, Xi'an 710077, China.

出版信息

Sensors (Basel). 2022 Mar 14;22(6):2239. doi: 10.3390/s22062239.

DOI:10.3390/s22062239
PMID:35336416
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8949386/
Abstract

Interrupted sampling repeater jamming (ISRJ) is an attracted coherent jamming method to inverse synthetic aperture radar (ISAR) in the past decades. By means of different jamming parameters settings, realistic dense false targets can be formed around the true target. This paper proposed an adaptive anti-jamming method against ISRJ by adjusting the number of measurements based on compressed sensing (CS). The jamming signal is energy concentrated and segmented sparse in the frequency domain. The measurements number of the reconstructed target signal and the jamming signal is different. According to the restricted isometry property (RIP) condition of CS theory, signal reconstructing performance depends on the number of measurements that varies with the sparsity of the vector. Thus, the jamming signal is suppressed, and the true target signal is retained by altering the measurements number of echo signals. Besides, the two-dimensional (2D) anti-jamming method is derived in detail. The anti-jamming effect is analyzed with different signal-to-noise ratios (SNR), sampling rates, and jam-to-signal ratios (JSR). Simulations prove the effectiveness of the proposed anti-jamming method.

摘要

间歇采样转发干扰（ISRJ）是过去几十年来对逆合成孔径雷达（ISAR）具有吸引力的一种相干干扰方法。通过设置不同的干扰参数，可以在真实目标周围形成逼真的密集虚假目标。本文提出了一种基于压缩感知（CS）通过调整测量次数来对抗ISRJ的自适应抗干扰方法。干扰信号在频域中能量集中且分段稀疏。重建目标信号和干扰信号的测量次数不同。根据CS理论的受限等距特性（RIP）条件，信号重建性能取决于随向量稀疏性变化的测量次数。因此，通过改变回波信号的测量次数来抑制干扰信号，并保留真实目标信号。此外，详细推导了二维（2D）抗干扰方法。分析了不同信噪比（SNR）、采样率和干扰信号与目标信号功率比（JSR）下的抗干扰效果。仿真证明了所提抗干扰方法的有效性。

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