电讯技术Issue(2)：151-155,5.DOI:10.3969/j.issn.1001-893x.2015.02.007
改进的变步长维纳系统盲源分离方法
An Improved Variable Step Size Wiener System Blind Source Separation Method
摘要
Abstract
In the nonlinear blind source separation algorithm of Wiener system,the fixed step size leads to the contradiction between convergence speed and steady-state error of the algorithm,which directly affects the performance of the separation algorithm. To solve the problem,an algorithm based on variable step size blind source separation method of Wiener system is proposed in this paper. This method that updates the step length in the form of a nonlinear function is introduced into the separation algorithm,makes the steady-state parameters to update the step size as small as possible,so as to avoid oscillating. On the contrary, step increases,speeds up the convergence,increases steady-state error. The variable step size algorithm in the process of separating each update makes step automatically and reasonably adjust, improves the per﹣formance of Wiener system blind source separation algorithm. Simulation shows the blind source separation method of Wiener system in this paper can separate source signals better with lower errors and faster con﹣vergence speed in comparison with the original algorithm.关键词
维纳系统/盲源分离/非线性盲源分离/变步长算法Key words
Wiener system/blind source separation/nonlinear blind source separation/variable step size algorithm分类
信息技术与安全科学引用本文复制引用
赵立权,齐厚颖..改进的变步长维纳系统盲源分离方法[J].电讯技术,2015,(2):151-155,5.基金项目
国家自然科学基金资助项目(61271115) （61271115）
吉林省青年科技研究项目(201101110)Foundation Item:The National Natural Science Foundation of China(No.61271115) （201101110）
The Natural Science Foundation for Young Scientists of Jilin Province(No.201101110) （No.201101110）
