基于子空间的MIMO多用户信道估计算法研究.docx

文档介绍：基于子空间的MIMO多用户信道估计算法
研究
马丽1,任金芳彳，张凯彳
(，北京100876；
，淄博255043；
，济南250001)
摘要：MIMO系统可以使得系统容量获得很大提高，现今MIMO技术是宽带无线通信系统 4G的核心技术之一。为了在接收端准确恢复发端发送的原始信号，通常需要根据接收信号 对信道进行估计，同时，为保证系统性能不受信道多径和衰落效应的影响，也需要采用信道 估计的方法来跟踪信道响应的变化，它是进行相关检测、解调、均衡的基础。本文从提高 MIMO系统信道估计准确性角度出发，介绍了基于子空间方法的Capon和MUSIC MIMO多 用户信道估计算法，并与传统LS算法进行仿真对比，结果表明随着SNR和训练序列Jt数 目的变化，基于Capon和MUSIC算法的SER和MMSE远低于基于标准LS的算法，说明Capon 和MUSIC算法提高了带宽效率和信道估计的准确性。并且基于MUSIC算法的SER和MMSE比 基于Capon算法的略低，说明MUSIC信道估计算法性能稍好于Capon信道估计算法。 关键词：信号与信息处理；LS； Capon； MUSIC； MIMO；半盲信道估计
中图分类号：
Research of Multi-user Channel Estimation Algorithm in
MIMO System on the Basis of Subspace
MA Li1, REN Jinfang2, ZHANG Kai3
(1. School of Information and Communication Engineering,Beijing University of Posts and
Telecommunications,Beijing 100876;
2. China United Telecommunications ,Zibo 255043;
3. Fiberhome Telecommunication Technologies Co.,Ltd, Jinan 250001)
Abstract: MIMO systems can greatly improve the capacity of system, and the MIMO technology is one of the core technology of the 4G broadband wireless communication system. In order to accurately restore the original signal at the receiver, we usually use the basis of received signal to estimate the channel. We also require the use of channel estimation methods to track changes in channel response and ensure system performance unaffected by channel and multi-path fading this paper, in order to improve the accuracy of channel estimation in MIMO systems, We introduce two methods named Capon and MUSIC MIMO multi-user channel estimation algorithm on the basis of subspace, and compared to traditional LS algorithm by simulation. The simulation results show that, with the change of SNR and the number of training sequence Jt, the SER and MMSE of the Capon and MUSIC algorithm is much lower than the standard LS-based algorithm. That's to say the Capon and MUSIC algorithms improve bandwidth efficiency and the accuracy of channel