LMS与RLS自适应滤波算法对比研究

自适应滤波算法根据采用优化准则的不同,通常分为两类最基本算法：最小均方误差（LMS）类算法和递归最小二乘（RLS）类算法。本文重点介绍了最小均方误差算法和递归最小二乘算法,并将这两类算法在MATLAB上进行仿真,并对结果作出比较和分析。

Comparative Study of LMS and RLS Adaptive Algorithms

Adaptive filtering algorithm is usually divided into two categories according to different optimiza-tion criteria of the basic algorithm： class algorithm of the minimum mean square error （LMS） and class of algo- rithms and recursive least squares （RLS）. This article focuses on the minimum mean square error algorithm and re-cursive least squares algorithm, and simulates these two types of algorithms in MATLAB, and makes comparison and analysis on the results.