基于频率敏捷波形和稀疏恢复的反中断采样中继器干扰方法

IF 1.9 4区 工程技术 Q2 Engineering
Yunhao Ji, Shan Wei, Yaobing Lu
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引用次数: 0

摘要

中断采样中继器干扰(ISRJ)是一种脉冲内相干干扰,对雷达探测和跟踪目标构成重大威胁。本文从 ISRJ 的时间不连续性和调制特性出发,提出了一种基于频率敏捷波形和稀疏恢复的 ISRJ 抑制方法。该方法尤其适用于高干扰占空比(JDR)和高干扰器采样占空比(SDR)的场景。通过将传输波形划分为不同载波频率的子脉冲,并应用两轮块稀疏算法,该方法准确地恢复了 ISRJ 的三个参数,实现了有效的干扰识别、重建和消除。此外,还提出了一种基于鲁棒稀疏恢复的目标检测技术,显著提高了目标检测的稳定性和准确性。在三种场景下进行的对比实验结果证实了该方法在高 JDR 和 SDR 条件下的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Anti-interrupted-sampling repeater jamming method based on frequency agility waveform and sparse recovery

Anti-interrupted-sampling repeater jamming method based on frequency agility waveform and sparse recovery

Interrupted-sampling repeater jamming (ISRJ) is a type of intra-pulse coherent jamming that poses a significant threat to radar detection and tracking of targets. This paper proposes an ISRJ suppression method based on frequency agile waveform and sparse recovery, starting from the temporal discontinuity and modulation characteristics of ISRJ. This method is particularly suitable for scenarios with high jamming duty ratio (JDR) and high jammer sampling duty ratio (SDR). By dividing the transmitted waveform into sub-pulses with different carrier frequencies and applying a two-round block sparse algorithm, the method accurately recovers three parameters of ISRJ, achieving effective jamming identification, reconstruction, and cancellation. Additionally, a target detection technique based on robust sparse recovery is proposed, significantly improving the stability and accuracy of target detection. Comparative experimental results conducted in three scenarios confirm the effectiveness and superiority of this method under high JDR and SDR conditions.

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来源期刊
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing 工程技术-工程:电子与电气
CiteScore
3.50
自引率
10.50%
发文量
109
审稿时长
2.6 months
期刊介绍: The aim of the EURASIP Journal on Advances in Signal Processing is to highlight the theoretical and practical aspects of signal processing in new and emerging technologies. The journal is directed as much at the practicing engineer as at the academic researcher. Authors of articles with novel contributions to the theory and/or practice of signal processing are welcome to submit their articles for consideration.
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