在主瓣内有效地分离目标回波和干扰信号是提高雷达探测性能的重要措施。传统思路是在回波混合数据中对目标信号和干扰信号进行恢复处理,该方法要求较多,限制了在雷达抗主瓣干扰中的应用。文中将分离信号与发射信号的相似度作为约束条件引入独立成分分析模型,通过改良后的快速固定点迭代算法提取与期望信号高度相似的分离信号。仿真结果表明了该方法的有效性,且优于常规独立成分分析方法。

The effective separation of target echoes and jamming signals in the mainlobe is an important measure to improve radar detection performance. The traditional idea is to recover the target signals and the jamming signals in the echo mixed data. The requirements of these methods are strict, which limits its application in radar anti mainlobe jamming. In this paper, the similarity between the separated signal and the transmitted signal is introduced into the independent component analysis model. The separated signal highly similar to the expected signal is extracted by the improved fast fixed point iterative algorithm. The simulation results show the effectiveness of the proposed method and the superiority compared to the conventional ICA method.

TN974