A Novel Adaptive Algorithm for Blind Signal Separation of Linear Mixture

摘要：

A novel adaptive algorithm for blind separation of the linearly mixed signals based on the relationship of the variability between the source and the mixed signals is presented, which utilizes the generalized eigen-subspace decomposition based on the recursive least square (RLS) parallel computation. The presented algorithm has less mean square error by avoiding the complexity of the estimation of the high-order statistics of the source signal, and it has faster speed of convergence. Simulation results illustrate the efficiency of the algorithm.

关键词： Signal variability recursive least square generalized eigen-decomposition blind source separation

作者: ZHU Yi-yong ZHU Yong-gang YAO Fu-qiang GUAN Sheng-yong

作者单位: Institute of Communications Engineering of PLAUST, Nanjing 21007, P. R. China Nanjing Telecommunication Technology Institute,Nanjing 21007, P. R. China

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）