基于MATLAB的自适应滤波器研究.doc

基于MATLAB的自适应滤波器研究 摘要: 本文主要介绍了自适应滤波器的基本理论思想，具体阐述了自适应滤波器的基本原理、算法及设计方法。首先介绍了自适应滤波器的基本原理，然后引入了LMS（Least mean squares）算法, 这种算法实现简单且对信号统计特性变化具有稳健性，所以获得了极为广泛的应用，最后采用Matlab工具对基于LMS算法的自适应滤波器进行了仿真，仿真结果表明，该滤波器滤波效果较好。 关键词:自适应滤波器 LMS算法 MATLAB Simulate of adaptive filter based on MATLAB Abstract：This paper introduces the basic theory of adaptive filter idea，specifically，the adaptive filter the rationale，algorithm and design methods．First it introduce the basic principle of adaptive filter，then it introduce the LMS (Least mean squares) algorithm. As the algorithm is realized simply and has stability with respect to the change of signal statistical characteristics，LMS algorithm is used widely Finally，filter which is based on LMS algorithm is simulated by MATLAB. Results of simulation show that the filter has an effective way to filter single. Key words: Adaptive Filter LMS algorithm Matlab 1 引言 由Widrow等人提出的自适应滤波理论，是在维纳滤波、卡尔曼滤波等线性滤波基础上发展起来的一种最佳滤波方法。由于它具有更强的适应性和更优的滤波性能，从而广泛应用于通信、系统辨识、回波消除、自 适应谱线增强、自适应信道均衡、语音线性预测和自适应天线阵等诸多领域[1]。本文结合一个具体例子，使用LMS算法对自适应滤波器的参数进行选择和