Fast ICA应用于雷达抗主瓣干扰算法研究

压制干扰信号从主瓣进入雷达天线，会严重影响雷达的性能。通常的副瓣抗干扰技术难以奏效。本文首先给出了盲源分离应用于雷达主瓣抗干扰的信号模型，在此基础上提出了均匀噪声环境中，基于负熵最大化的快速固定点独立成分分析(Fast ICA)盲源分离算法，并用其分离接收到的干扰混合信号，最后脉压找出目标信号。仿真验证了算法用于主瓣抗干扰的有效性，并对其抗干扰性能进行了评价。仿真结果表明了算法良好的抗干扰性能，以及在分离效率上较明显的优势 

A Study on Radar Mainlobe Jamming Suppression Algorithm Based on Fast ICA

If the suppress jamming pour into the mainlobe of radar antenna, it would severely degenerate the performance of radar. The common ECCM measures of sidelobe have no effect. In this paper, the signal model of mainlobe jamming suppression based on blind source separation algorithm is given first of all. Then the blind source separation algorithm of fast fixed point independent component analysis (ICA) in the uniform noise environment is proposed, which is used to separate the mixed interference and target signal. And the target signal is found out by applying the pulse compression technique between the transmitted target signal and the separated signal at last. Then some simulation experiment is finished to test the validity and to evaluate the performance of the mainlobe jamming suppression algorithm. The simulation results show the satisfactory validity of algorithm in the radar mainlobe jamming suppression and evident superiority in the efficiency of the separation.