一种改进的变步长LMS自适应滤波算法

A Variable Step Size LMS Adaptive Filtering A lgorithm

该文主要综合了归一化LMS算法能够增加算法的动态输入范围和自相关的变步长LMS算法(VSSLMS),不仅可以加快收敛速度,而且可以在非平稳状态下进行跟踪,可以消除独立噪声干扰的优点,提出了一种改进的变步长归一化LMS算法,并且利用MATLAB实现了归一化LMS算法。

The paper based on the LMS algorithm that normalized LMS （NLMS） algorithm enlarges the dynamic range of input and variable step-size LMS algorithm （VSSLMS）which uses auto-correlation of errors can provide fast convergence, eliminate the influence of independent noise. This paper combinates their advantages, and the new algorithm can perform well both in the environment of low SNR and environment with large dynamic ,range of input. Meanwhile, it manages to use MATLAB to realize the Refrained Variable Step-size Normalized LMS Algorithm.