Anti-main lobe Slicing reconstruction jamming based on improved blind source separation algorithm

Jinhui Fang, Baojun Song, Mingzhe Zhu
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Abstract

Aiming at the current problem that MIMO radar cannot effectively identify the target under the interference of the main lobe slicing reconstruction jamming, the blind source separation algorithm based on the maximum signal-to-noise ratio cannot effectively separate the interference and signal under the background of high noise. In this paper, an improved blind source separation algorithm based on the maximum signal-to-noise ratio is used to realize the separation of slice reconstruction interference under the condition of low signal-to-noise ratio of FDA-MIMO radar system through computer simulation. The results show that compared with the original algorithm, the improved algorithm can better achieve the separation of the target signal and the interference signal.
基于改进盲源分离算法的反主瓣切片重构干扰
针对当前MIMO雷达在主瓣切片重构干扰下无法有效识别目标的问题,基于最大信噪比的盲源分离算法在高噪声背景下无法有效分离干扰与信号。本文通过计算机仿真,采用基于最大信噪比的改进盲源分离算法,实现了FDA-MIMO雷达系统低信噪比条件下的切片重构干扰分离。结果表明,与原算法相比,改进算法能更好地实现目标信号与干扰信号的分离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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