Mainlobe jamming will reduce the capabilities of modern radar significantly. Conventional independent component analysis (ICA)-based methods will suffer from the ineffectiveness when the angle of the target is same as that of the jammer. In this paper, exploring polarization characteristics, we propose an approach based on ICA for polarimetric multi-channel radar to suppress mainlobe interference. Specifically, the signal model of polarimetric multi-channel radar accounting for the target and jamming signals is derived. Then, the approach based on ICA is utilized to separate the target component and jamming component while achieving the mainlobe jamming suppression. Finally, the effectiveness and capacities of proposed method are demonstrated by simulations, and the results indicate that different kinds of mainlobe jammings can be effectively suppressed and the proposed method outperforms conventional jamming cancellation methods.

主瓣干扰将大大降低现代雷达的能力。当目标的角度与干扰器的角度相同时，基于传统独立成分分析（ICA）的方法将无法发挥作用。本文在探讨极化特性的基础上，提出了一种基于ICA的极化多通道雷达抑制主瓣干扰的方法。具体来说，得出考虑了目标信号和干扰信号的极化多通道雷达的信号模型。然后，基于ICA的方法被用于分离目标分量和干扰分量，同时实现主瓣干扰抑制。最后，通过仿真证明了所提方法的有效性和能力，