基于块稀疏恢复和随机相位编码的中断采样中继器干扰抑制

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Radar Sonar and Navigation Pub Date : 2024-02-28 DOI:10.1049/rsn2.12549
Yunhao Ji, Shan Wei, Yaobing Lu, Zigeng Li
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引用次数: 0

摘要

间断采样中继干扰(ISRJ)是一种有效的基于数字射频记忆的脉冲引入相干干扰。它在脉冲压缩后的测距剖面上表现为一组难以分辨的假目标,严重影响目标识别和跟踪。根据 ISRJ 与真实目标回波的相干性以及间歇拦截造成的波形不连续性,提出了一种基于块稀疏恢复的 ISRJ 参数估计和干扰抑制新方法。为确保稀疏恢复的有效性,传输信号被分为多个随机相位编码子脉冲。首先,通过块正交匹配追寻估计接收回波的脉冲数和时延。然后,根据采样占空比识别干扰片段,并通过匹配估计多普勒频率。最后,根据参数估计结果重建干扰切片,以消除 ISRJ。两个典型场景的数值实验表明,这种方法能有效抑制 ISRJ。特别是在干扰占空比较高的情况下,该方法表现出良好的抗干扰性能。
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Interrupted-sampling repeater jamming suppression based on block sparse recovery and random phase encoding
The interrupted-sampling repeater jamming (ISRJ) is an effective kind of intro-pulse coherent jamming based on digital radio frequency memory. It appears as a group of false targets that are difficult to distinguish on the range profile after pulse compression, which seriously affects the target identification and tracking. According to the coherence between ISRJ and real target echo and the waveform discontinuity caused by intermittent interception, a new method is proposed for ISRJ parameter estimation and jamming suppression based on block sparse recovery. To ensure the effectiveness of sparse recovery, the transmitted signal is divided into several random phase-encoded sub-pulses. Firstly, the pulse-number and time-delay of the received echo are estimated by block orthogonal matching pursuit. Then, the jamming slices are identified based on the sampling duty ratio and the Doppler frequency is estimated through matching. Finally, according to the parameter estimation results, the jamming slices are reconstructed to eliminate ISRJ. Numerical experiments in two typical scenarios have shown that this method can effectively suppress ISRJ. Especially in the scenario of high jamming duty ratio, this method exhibits good anti-jamming performance.
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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
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