独立分量分析在雷达盲信号处理上的应用

摘要

ICA (independent component analysis) is a method for blind source separation developed in recent years. After analyzing Fast ICA algorithm deeply, this is used for continuous wave radar signal sorting. Simulation results show that the application of this algorithm to blind source separation of radar signals by continuous waves is effective and improve efficiency of signal sorting and provide a new wan for blind signal processing.%独立分量分析(ICA)是近年来发展起来的一种有效的雷达盲信源分离方法.目前新体制雷达的大量涌现,运用原有的雷达分选方法是无法分选的,这已经无法适应现代复杂的电磁环境.在深入分析FastICA算法的基础上,将其应用于连续波雷达信号分选中.计算机仿真表明,这种算法应用于连续波雷达盲信号分选时,不仅提高了信号的分选速度和信号分离的准确率,而且可以有效地提高信号分选的效能,也为盲信号处理提供了一种新的思路.