A Novel Implementation to Linearly Constrained Minimum Variance Filter Based on Chebyshev Iteration

摘要：

The linearly constrained minimum variance (LCMV) filter has been widely used in many aspects of signal processing. In this paper, we propose a novel algorithm for adaptive LCMV filter based on Chebyshev approximation, which significantly outper-forms recursive least square (RLS) approach with almost the same complexity. This is demonstrated by a computer experiment for blind multiuser detection in Direct-sequence Code-division Multiple-access (DS/CDMA) systems. Computer simulation results show that this new algorithm has faster convergence and much better performance than RLS algorithm.

关键词： LCMV Chebyshev Approximation Blind Multiuser Detection

作者: GAO Jiawei WANG Xiaoyan CHEN Xinwei

作者单位: Key Laboratory of Ministry of Education for Computation Intelligence & Chinese Information Processin Key Laboratory of Instrumentation Science & Dynamic Measurement North University of China Ministry o College of Physics & Electronics Engineering, Shanxi University, Taiyuan, Shanxi, 030006

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）