基于稀疏重构的空域-极化域联合抗主瓣干扰方法

Space-polarization Domain Combined Anti-mainlobe Jamming Method Based on Sparse Reconstruction

  • 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。仿真实验表明,该方法能够有效对抗主瓣干扰信号与副瓣干扰信号,与当前流行的抗干扰方法相比,整体上具有更高的输出信噪比,尤其是在对抗空域上与期望信号很相近的干扰信号时。此外,本文方法还具有较快的运算速度,符合雷达抗干扰的实际要求。

     

    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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