RLS自适应均衡算法及其应用.docx

现代信号处理 学 号： 小 组 组 长： 小 组 成 员及分工： 任 课 教 师： 聂 文 滨 教师所在学院： 信息工程学院 2015年 11 月 PAGE \* MERGEFORMAT 1 PAGE \* MERGEFORMAT 1 RLS自适应均衡算法及其应用 摘要 在移动通信领域中，码间干扰始终是影响通信质量的主要因素之一。产生码间干扰的要原因是信道的非理想特性，多径传输是导致信道非理想特的重要因素。为了提高通信质量，减少码间千扰，在接收端通常都要采用均衡技术抵消信道的影响。而在使用均衡器的大多数通信系统中，信道的特性是未知的。并且在许多情况下，信道响应是随时间变化的。此时，简单的线性均衡器难以满足系统的基本要求，必须使用具有较强的时变适应能力的均衡器，即自适应均衡器。在传统的均衡器中，自适应算法必须是以已知的训练序列为前提才能开始进行，然而实际信道中训练序列的传输往往是比较困难的，同时也会降低通信系统的效率。 盲自适应均衡器可以有效地解决这一问题。 本文首先介绍了课题背景及课题研究的意义，阐述了RLS均衡算法的基本概念和基础，并用MATLAB进行仿真。 关键词:码间干扰 均衡滤波 均衡器 Abstract In the field of mobile communications, the intersymbol interference has always been one of the main factors affecting the quality of communication. Causes to intersymbol interference is a non-ideal properties of channel, multipath transmission channel is not ideal, the important factors. In order to improve the quality of communication, reduce intersymbol interference, often on the receiving end to adopt balanced technology to offset the effect of channel. In using equalizer for most of the communication system, the characteristics of the channel is unknown. And in many cases, the channel response is change over time. At this point, the simple linear equalizer is difficult to meet the basic requirements of the system, you must use strong time-varying adaptive equalizer, namely adaptive equalizer. In traditional equalizer, adaptive algorithms must be based on a known training sequence is the premise to begin, but the actual training sequence in the channel of transmission is often more difficult, at the same time, it will reduce the efficiency of communication system.Blind adaptive equalizer can effectively solve the problem. This paper first introduces the topic background and significance of research, this paper expounds the basic concepts of RLS equalization algorithm and the foundation, and MATLAB simulation. K