双系统自适应耦合盲源分离算法  

Blind source separation using an adaptive combination of two separation systems

作　　者：欧世峰[1] 赵晓晖[2] 高颖[1] 

机构地区：[1]烟台大学光电信息科学技术学院,山东烟台264005 [2]吉林大学通信工程学院,长春130012

出　　处：《吉林大学学报（工学版）》2010年第5期1366-1370,共5页Journal of Jilin University:Engineering and Technology Edition

基　　金：高等学校博士学科点专项科研基金项目(200801830037)

摘　　要：结合两个固定步长的盲源分离系统,提出了一种双系统自适应耦合盲分离算法。该算法利用滑动因子来调整两个分离系统在算法所处不同分离阶段的比重,并基于随机梯度方法获得了滑动因子的自适应更新规则。仿真实验表明,本文算法在平稳和非平稳环境下都具有较好的收敛和分离性能。In this paper, a fire-new framework by adaptively combining two separation systems was proposed for BSS in an attempt to put together the best properties of them. A smoothing factor was used to adjust the proportion of the two components, and its adaptive updating rule was obtained based on the stochastic gradient schemes of the cost function. The resulting algorithm is shown to outperform its two components in both stationary and non-stationary environments.

关 键 词：通信技术 盲源分离 收敛性 稳态误差 自适应 步长 

分 类 号：TN911[电子电信—通信与信息系统]