基于LMS算法的自适应滤波器性能分析  

Performance Analysis of Adaptive Filter Based on LMS Algorithm

作　　者：刘建涛 席闯 姜海洋 LIU Jiantao;XI Chuang;JIANG Haiyang(Shenyang Liaohai Equipment Limited Liability Company,Shenyang 110000)

机构地区：[1]沈阳辽海装备有限责任公司,沈阳110000

出　　处：《舰船电子工程》2021年第12期36-39,共4页Ship Electronic Engineering

摘　　要：论文主要介绍了维纳滤波器、卡尔曼滤波器、LMS自适应滤波器的特点及应用,并以维纳滤波器作为非递归型滤波器的代表,与递归型滤波器LMS自适应滤波器就Matlab仿真的滤波效果进行比较,LMS自适应滤波器更适合对未知模型系统中变化的信号进行滤波。并对自适应滤波器中LMS算法的应用领域进行介绍。This article mainly introduces the features and applications of the Wiener filter,Kalman filter and LMS adaptive fil⁃ter.Wiener filter is taken as the representative of non-recursive filter,and the filtering effect of Matlab simulation is compared with recursive filter LMS adaptive filter.The conclusion is that the LMS adaptive filter is more suitable for filtering the changing signal in the unknown model system.This article introduces the application fields of LMS adaptive filter.

关 键 词：维纳滤波器 卡尔曼滤波器 LMS自适应滤波器 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]