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.