基于最小均方算法的自适应有限长滤波器设计仿真

Application simulation of the finite filter based on the least mean square

本文主要介绍最小均方算法的性能特点。基于最小均方算法的自适应滤波器电路结构简单且实时跟踪性能好。自适应滤波器的重要特性就在于它能够在未知环境申有效工作并能够跟踪输入信号的时变特性。理论分析和仿真结果表明，在低信噪比的前提下，自适应滤波器具有良好的信号处理性能，并对系统发生的突变表现出较强的鲁棒性。

This paper discusses the structure and performance of the Least Mean Square arithmetic, landscape orientation filter and the least mean square arithmetic formula which bases on the steepest decline method. The significant feature of adaptive filter lies in its effective stability that traces input signals. Theoretical analysis and simulation results show that, in the low SNR circumstance, it provides sound facility of processing data and is robust against the abrupt change of the system.