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基于稀疏重构的空域-极化域联合抗主瓣干扰方法
引用本文:杨书宁,杨仲平,张剑云,周青松.基于稀疏重构的空域-极化域联合抗主瓣干扰方法[J].信号处理,2022,38(2):401-409.
作者姓名:杨书宁  杨仲平  张剑云  周青松
作者单位:国防科技大学电子对抗学院,安徽 合肥 230037
基金项目:安徽省自然科学基金青年项目1908085QF252
摘    要:针对当前抗干扰方法面对主瓣干扰时存在的抗干扰性能急剧下降的问题,本文提出了一种基于稀疏重构的空域-极化域联合抗主瓣干扰方法.该方法首先利用稀疏重构对干扰信号的波达角(DOA)进行估计;然后在恒模约束的基础上,利用相关性最大原则估计干扰信号的极化参数;最后利用估计得到的信号导向矢量,构建联合斜投影滤波器进行干扰抑制.仿真...

关 键 词:主瓣干扰  斜投影滤波  稀疏重构  波达角估计
收稿时间:2021-06-05

Space-polarization Domain Combined Anti-mainlobe Jamming Method Based on Sparse Reconstruction
Affiliation:Electronic Countermeasures Institute of National University of Defense Technology,Hefei,Anhui 230037,China
Abstract:In the face of mainlobe jamming, current anti-jamming methods declines sharply, in order to solve this problem, a space-polarization domain combined anti-mainlobe jamming method based on sparse reconstruction is proposed in this paper. Firstly, sparse reconstruction is used to estimate the direction of arrival (DOA) of the interference signal. Then the polarization parameters of the interference signal are estimated by using the principle of maximum correlation and the constraint condition of constant mode. Finally, a joint oblique projection filter is constructed to suppress interference by using the estimated signal steering vector. Simulation experiments show that this method can effectively suppression mainlobe interference signals and sidelobe signals. And this method has a higher output Signal to Noise Ratio (SNR) than the current popular anti-jamming methods, especially when it is used to suppress jamming signals that are very close to the desired signal in the airspace. In addition, the new method has a high computing speed and meets the practical requirements of radar anti-jamming. 
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