Utilizing Variable Vector Step-Size in Normalized LMS Algorithms

摘要：

A new variable step-size normalized least mean square (NLMS) algorithm is proposed in this paper,which is designed for applications where the unknown filter has an exponential decay impulse response.In the proposed algorithm a variable vector step size used on the basis of maximizing the decrease of the mean square deviation (MSD).Theoretical analysis is given to show the validity.Compared with other variable step-size NLMS algorithms,the proposed method has a faster convergence rate and smaller steady state mean square error (MSE).Simulation results show the improved performance of the proposed algorithm.The same idea of utilizing variable vector step size can be expanded to other variable step-size NLMS algorithms.

关键词： Adaptive filter LMS variable step-size.

作者: Ning Li Yonggang Zhang Yanling Hao

作者单位: College of Automation,Harbin Engineering University,Harbin,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）