无线通信中自适应信号处理的研究

无线通信中自适应信号处理的研究(任务书,开题报告,论文13000字)
摘要
自适应信号处理技术一直是当今信息时代的研究热点,自适应滤波技术在无线通信系统中有着重要作用，其性能优劣影响着整个通信系统的信息传输质量。在已有的自适应信号处理算法中，主要以最小均方（LMS）算法和递归最小二乘（RLS）算法为基础，并在其基础上研究其他算法。
本文建立在无线通信系统基础上，简述了LMS算法和RLS算法的策略，并且通过MATLAB软件实现两种算法，然后模拟通信信号在不同信道中传输，采用两种不同自适应滤波器对传输信号进行滤波，分析自适应信号处理效果，得出不同算法的优劣，及影响滤波效果的因素。
关键词：自适应信号处理；LMS算法；RLS算法；MATLAB

Abstract
Adaptive signal processing technology has always been the research hotspot in the information age. Adaptive filtering technology plays an important role in the wireless communication system. Its performance affects the quality of the information transmission of the whole communication system. In the existing adaptive signal processing algorithms, it is based on the least mean square (LMS) algorithm and the recursive least square (RLS) algorithm, and other algorithms are studied on the basis of the algorithm.

Based on the wireless communication system, this paper describes the strategy of LMS algorithm and RLS algorithm, and implements two algorithms through MATLAB software, then simulates the transmission of communication signals in different channels, uses two different adaptive filters to filter the transmission signal, analyzes the effect of adaptive signal processing, and obtains the difference. The advantages and disadvantages of the algorithm and the factors that affect the filtering effect are also discussed.
Key words: adaptive signal processing;LMS algorithm; RLS algorithm; MATLAB
 

目录
1绪论    1
1.1 课题研究的背景    1
1.2 国内外研究进展    1
1.3 设计任务    2
2 自适应滤波器基本原理    3
2.1 自适应滤波器的基本概念    3
2.2 横向自适应滤波器    4
2.2.1 横向自适应滤波器的结构    4
2.2.2 自适应滤波器的性能函数    5
2.2.3 二次型性能表面的搜索    6
3 自适应算法    11
3.1 最小均方误差（LMS）算法    11 [版权所有：http://DOC163.com]
3.2 递归最小二乘（RLS）自适应滤波器    14
3.3.1 线性最小二乘原理    15
3.3.2 递归最小二乘自适应滤波器    16
4 实验结果及分析    20
5 总结与展望    27
5.1 总结    27
5.2 展望    27
参考文献    28
附录    29
致谢    34 [版权所有：http://DOC163.com]