如何提高雷达系统的抗干扰能力一直是雷达信号处理中比较关注的问题。卷积混合盲分离技术是当前盲分离研究 的热点和难点。文中用卷积混合盲分离算法来分离雷达系统接收的信号,把卷积混合的干扰信号和有用信号分离开来, 以实现雷达系统抗干扰的目的。该方法使用基于Householder变换的高阶累积量的联合对角化的频域方法来分离卷积混 合的雷达接收信号。计算机仿真表明,该抗干扰方法可把卷积混合的雷达信号和干扰信号分离出来,且达到较好的分离 效果。

It is an important problem that the increase of the performance of radar anti-jamming for a long time in radar signal processing. Separation convolutive mixture of source signals is a challeng of blind source separation (BSS). In this paper, the algorithms of convolative mixtare BSS is used to separate the received signals of the radar to the jamming and the useful signal and realize the aim of radar anti-jamming. A new algorithm for convolutive mixture BSS by using the Householder transformation to realize the joint diagonalization of high-order cumulant and operation in the frequency domain is proposed. Using the algorithms of convolutive BSS the received signals of radar systems are separated to the radar signals and the jamming. Simulation results show that the novel method of radar anti-jamming can realize the separating of radar signals and the jamming and have the better performance of separating.