摘要
独立分量分析(Independent Component Analysis,ICA)是近年来发展起来的一种有效的盲信源分离方法。在介绍了独立分量分析基本理论的基础上,将基于负熵最大化的FastICA算法应用于对脉冲多普勒雷达信号和连续波雷达信号进行分选,是一种新方法的尝试,并通过2种性能指标来评价分选的效果。仿真结果表明,该算法能够有效地对脉冲多普勒雷达信号和连续波雷达信号进行分选。
Independent Component Analysis（ICA） is a method for blind source separation,which has been developed in recent years.ICA basic principle is discussed in this paper.A FastICA algorithm based on Negentropy-maximization is used for sorting a pulse Doppler radar signal and a continuous-wave radar signal.This method is a new trial.There are two performance specifications to evaluate the sorting.The simulation result shows that this algorithm can efficiently sort the pulse Doppler radar signal and the continuous-wave radar signal.
出处
《无线电工程》
2007年第10期17-20,共4页
Radio Engineering
