基于改进的盲源分离算法抗主瓣SMSP干扰

Anti-mainlobe SMSP Interference Based on Improved Blind Source Separation Algorithm

针对基于最大信噪比的盲源分离算法在信干噪比较差环境中无法有效分离信号和干扰的情况,提出了一种改进的基于最大信噪比的盲源分离算法,使用经过小波阈值去噪后的观测信号作为新的观测信号,重新构建最大信噪比目标函数,实现在高信噪比条件下的干扰分离。通过计算机仿真,在频率分集阵列-多输入多输出雷达系统中实现了在高信噪比条件下弥散干扰的分离。结果表明:相比于原始算法,改进后的算法能够很好地实现目标与干扰信号的分离。

For the blind source separation algorithm based on the maximum signal-to-noise ratio,the signal and interference cannot be effectively separated in the environment of poor signal stem noise.In this paper,an improved blind source separation algorithm based on the maximum signal-to-noise ratio is proposed,which uses the observed signal after the denoising of the wavelet threshold as a new observation signal,reconstructs the maximum signal-to-noise ratio objective function,and realizes the interference separation under high signal-to-noise ratio conditions.Through computer simulation,the separation of diffuse interference under high signal-to-noise ratio conditions is realized in the frequency diverse array-multiple input multiple output radar system,and the results show that compared with the original algorithm,the improved algorithm can achieve the separation of target and interference signal well.