通信学报2017，Vol.38Issue(3)：16-24,9.DOI:10.11959/j.issn.1000-436x.2017067
带自适应动量因子的变步长盲源分离方法
Variable-step blind source separation method with adaptive momentum factor
摘要
Abstract
A variable-step blind source separation algorithm based on the natural gradient with adaptive momentum factor was proposed,which could cope with the determined blind source separation in the environment of stationary and non-stationary.Function estimation mixed matrix was constructed by performance index.The estimated performance index was obtained by the estimated mixed matrix,and the constructor was updated by the estimated performance index.Then,the constructor was plugged with appropriate experienced parameter into the proposed algorithm and step and momentum factor was adaptively adjusted.Finally,the estimation source signals could be obtained.Simulations show that the proposed algorithm is effective to estimate the mixed matrix in the stationary and non-stationary environments,and the proposed algorithm has faster convergence speed and lower steady error as well as separates source signals effectively关键词
盲源分离/自然梯度/动量因子/变步长Key words
blind source separation/natural gradient/momentum factor/variable-step分类
信息技术与安全科学引用本文复制引用
张天骐,马宝泽,强幸子,全盛荣..带自适应动量因子的变步长盲源分离方法[J].通信学报,2017,38(3):16-24,9.基金项目
国家自然科学基金资助项目(No.61671095,No.61371164,No.61275099) （No.61671095,No.61371164,No.61275099）
信号与信息处理重庆市级重点实验室建设基金资助项目(No.CSTC2009CA2003) （No.CSTC2009CA2003）
重庆市教育委员会科研基金资助项目(No.KJ130524,No.KJ1600427,No.KJ1600429)The National Natural Science Foundation of China (No.61671095,No.61371164,No.61275099),The Project of Key Laboratory of Signal and Information Processing of Chongqing (No.CSTC2009CA2003),The Research Project of Chongqing Educational Commission (No.KJ130524,No.KJ1600427,No.KJ1600429) （No.KJ130524,No.KJ1600427,No.KJ1600429）
