毕业论文-基于LMS算法的自适应线性均衡器设计资料.doc

基于LMS算法的自适应线性均衡器设计 摘要：在信息业快速发展的今天，进行快速准确的通信是各个行业的基本要求。影响移动通信质量和通信速度的一个重要因素是码间干扰，即串扰。在一个实际的通信系统中，基带传输系统不可能完全满足理想的波形传输无失真条件，因而串扰几乎是不可避免的。对串扰进行校正的电路称为均衡器，其实质是信道的一个逆滤波器。信道均衡器是通信系统中一项重要的技术，它能够很好的补偿信道的非理想特性，从而减轻信号的畸变，降低误码率。在高速通信、无线通信领域，信道对信号的畸变将更加的严重，因此信道均衡技术是不可或缺的。 本文介绍了自适应均衡器的基本理论、最小均方(LMS)算法的原理与设计、自适应的基本原理、线性均衡器的基本理论与设计，并结合归一化(NLMS)算法、递归最小二乘法(RLS)算法对最小均方(LMS)算法作了进一步说明，最终用MATLAB对基于LMS算法的自适应线性均衡器进行了仿真设计。 关键词：LMS算法；自适应；线性均衡器；(NLMS)算法；(RLS)算法 LMS Algorithm Based on Adaptive Linear Equalizer Design Abstract：The rapid development of information industry today, for fast and accurate communication is the basic requirement of various industries. Affect the quality of mobile communications and the communication speed is an important factor in inter-symbol interference, that is, crosstalk. In a practical communication system, base-band transmission system can not fully meet the ideal conditions for wave transmission without distortion, thus crosstalk is almost inevitable. The crosstalk correction circuit called equalizer, and its essence is an inverse channel filter. Channel equalizer is an important communication systems technology, it can be well compensated non-ideal characteristics of the channel, thereby reducing the signal distortion, reduce the error rate. In the high-speed communications, wireless communications, channel distortion of the signal will be more serious, so the channel equalization is indispensable. This article describes the basic theory of adaptive equalizer, the minimum mean square (LMS) algorithm and design principles, basic principles of adaptive linear equalizer of the basic theory and design, combined with normalized (NLMS) algorithm, recursive least squares (RLS) algorithm for least-mean-square (LMS) algorithm was further described, and ultimately using MATLAB LMS algorithm based adaptive linear equalizer for simulation design. Key words：LMS algorithm; Adaptive; Linear equalizer; (NLMS) Algorithm; (RLS) Algorithm 目 录 第1章 绪论 1 1.1 均衡器研究背景及意义