基于盲源分离的无源雷达信号处理研究

为解决基于FM资源的无源雷达直达波与目标反射波的精确提取与分离比较困难的问题，在对数据进行源数估计后，将改进的FastICA算法应用于无源雷达直达波与目标反射波的提取中，最后运用基于相关系数的排序和相位调整算法对排序和相位进行调整。仿真结果表明运用该方法可以实现从同频、邻频的混合信号中精确分离和提取出元源雷达直达波与目标反射波信号，为进一步的无源雷达精确定位估计打好了基础。

Research of Passive Radar Signal Processing Based on Blind Source Separation

In order to overcome the difficulty that accurately extract and separate the direct and reflected wave signals of passive radar based on FM resource, the improved FastICA algorithm is applied to the extraction of the direct and reflected wave signals of the passive radar after estimating the number of sources, and then the sort order based on correlation coefficient and the phase adjustment algorithm are adopted to adjust the sort order and phase. The simulation result shows that this method can implement the accurate separation and extraction of the passive radar＇direct and reflected wave signals from the mixed signals in identical and adjacent frequency, It can provide a foundation for the further precise orientation of the passive radar.