基于压缩感知的非均匀脉冲SAR欺骗性干扰抑制方法

针对SAR欺骗式干扰的特点和传统干扰抑制后SAR成像质量恶化以及传统干扰抑制方法存在着冗余度高、有效信息提取率低等问题,本文提出了将两种新的稀疏采样方式-互质采样与嵌套式稀疏采样同压缩感知算法相结合,用来抑制欺骗式干扰并实现目标高分辨重建的方法。通过仿真实验,对比了本文提出的新重构算法与传统非均匀采样重构算法,证明了在采样率远低于Nyquist速率的条件下,基于压缩感知的稀疏非均匀SAR采样与成像方法不但可以抑制欺骗式干扰,而且能够在避免信号冗余的情况下实现目标的高分辨成像。

Novel non uniform pulse SAR deception jamming suppressing method based on compressive sensing

Aiming at the characteristic of SAR deception jamming, and the problems of SAR imaging quality degradation after traditional deception jamming suppressing, high redundancy and low efficiency of effective information extraction in traditional anti jamming method, this paper propose a novel method, which combines two new sparse sampling methods, i.e. coprime sampling and nested sparse sampling with compressive sensing (CS) algorithm to resist deception jamming and achieve SAR image high resolution reconstruction. Through simulation experiment, this paper compares the proposed new reconstruction algorithm and traditional non uniform sampling reconstruction algorithm; and the result proves that under the condition that the sampling rate is much lower than the Nyquist rate, the sparse non uniform SAR sampling and imaging method based on compressive sensing can not only resist deception jamming, but also achieve high resolution target imaging effectively with much less data than that regularly required under the condition of avoiding signal redundancy.