主瓣干扰抑制,相对于旁瓣干扰而言,缺少有效的对抗手段。基于认知原理,结合多重信号分类与恒虚警检测,提出了一种基于波束域四阶累积量的特征矩阵近似联合对角化(JADE)盲源分离算法,可以有效抑制主瓣干扰,并给出了不同信噪比条件下目标信号与干扰分离度的效果。该方法可有效实现目标与干扰的分离,具有良好的抗干扰性能。

Compared with the side-lobe interference, the main-lobe interference suppression lacks effective countermeasures. In order to suppress the main-lobe jamming, the blind source separation algorithm of beamspace JADE which is based on the cognitive theory and combinedthe multiple signal classification with the constant false alarm detection is proposed in this paper. The effects of target signal degree of separation and jamming signal degree of separation under the different condition of signal-to-noise ratio are also provided. This algorithm can effectively separate the target from the main-lobe jamming, and has a good performance for the main-lobe interference.

TN972

国家自然科学基金资助项目;中国高校基本科研业务费专项资助项目