一种有效的变步长的自适应独立分量分析算法  

An Efficient Variable Step Size Adaptive Independent Component Analysis Algorithm

作　　者：郑茂[1] 郑浩[2] 粘永健[1] 郑林华[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院,湖南长沙410073 [2]武汉大学经济与管理学院,湖北武汉430072

出　　处：《武汉大学学报（理学版）》2009年第6期669-673,共5页Journal of Wuhan University:Natural Science Edition

基　　金：国防预研基金资助项目(9140A22020707KG0181)

摘　　要：步长因子的优选是自适应算法中的一个重要问题,本文建立了步长因子与互相关性测度之间的一种非线性函数关系,以此为基础,提出了一种新的变步长的自适应独立分量分析算法,分析了算法收敛性能和稳态性能.该算法根据互相关性测度所反映的信号分离状态自适应地调节步长因子,克服了传统算法在稳态步长调整过程中的不足.仿真实验结果表明了算法的有效性.An important problem in adaptive algorithm is opting step size. This paper establishes a nonlinear functional relationship between step size and measure of signal of dependence. On the basis of the functional relationship, the paper presents the new algorithm of variable step size adaptive ICA and analy- ses convergence and steadiness of the algorithm. This algorithm of variable step size on the basis of the de gree of signal separation which is reflected by measure of signal dependence overcomes the disadvantages of traditional algorithms in the process of step size change of adaptive steady state. The theoretical analysis and computer simulation results show this algorithm has better performance in convergence and steadiness.

关 键 词：盲信号分离 独立分量分析 自适应 变步长 互相关性测度 

分 类 号：TN911.7[电子电信—通信与信息系统]