计算机应用与软件Issue(9)：183-186,4.DOI:10.3969/j.issn.1000-386x.2013.09.051
一种改进的变步长 LMS 自适应滤波算法
A MODIFIED VARIABLE STEP SIZE LMS ADAPTIVE FILTERING ALGORITHM
摘要
Abstract
Aiming at the contradiction between convergence rate and static error in convergence process of the least mean square ( LMS) algorithm, a normalised LMS algorithm based on arctangent function is proposed .In this algorithm, arctangent function and time estimation of the error autocorrelation are utilised to establish a non-linear relation between the step factor and the error to suppress the non-correlated noise in the environment; meanwhile, the normalised signal power is introduced to expand the value range of input signal .Simulation results confirm that the proposed algorithm has faster convergence rate , lower static error and has better capability of system time-varying tracking .关键词
自适应滤波/变步长/最小均方/反正切函数Key words
Adaptive filtering/Variable step size/Least mean square/Arctangent function分类
信息技术与安全科学引用本文复制引用
石嘉豪,罗雅愉,刘威杨,梅剑寒,王为凯..一种改进的变步长 LMS 自适应滤波算法[J].计算机应用与软件,2013,(9):183-186,4.基金项目
广东省创新实验项目（1056111035）。 （）
