基于叠加训练序列的MIMO信道系数估计研究  

Study on MIMO Channel Coefficient Estimation Based on the Superimposed Training Sequence

作　　者：邢开开[1] 

机构地区：[1]桂林电子科技大学信息与通信学院,广西桂林541004

出　　处：《计算机仿真》2010年第11期118-121,共4页Computer Simulation

基　　金：国家"973"高技术计划(2008CB317109);广西科学基金项目(桂科自0991241);国家自然科学基金(60572054);广西信息与通讯技术重点实验室(10903)资助课题

摘　　要：研究移动通信系统,在高数据率MIMO系统中,针对信道系数的准确估计是实现MIMO系统接收端准确检测、解码等的重要前提。根据一种叠加训练序列的MIMO信道估计模型,为提高信道精度,提出最小二乘(LS)方法和最小均方误差方法(MMSE)对信道系数进行估计,并进行了数值分析。数值仿真结果表明,在相同的条件下,对信道系数进行估计,最小均方误差方法(MMSE)较优于最小二乘(LS)方法。在高信噪比、有限发送符号数和较少发射天线数的情况下,两种方法都有精确的估计,具有实用价值。In the high data rate MIMO systems,estimating the channel coefficient accurately is an important prerequisite for MIMO system receivers in detecting accurately,decoding and so on.In this paper,a MIMO channel estimation model based on the superimposed training sequence method is applied.Through exploiting Least Square（LS） method and Minimum Mean Square Error（MMSE） method,the channel coefficient estimation formulas are derived.The numerical simulation results show that channel coefficient estimation has higher precision by using MMSE than LS at the same condition.However,these two methods also have good performance under the situation of the high signal noise rate,the finite length of training sequence and few numbers of antennas.

关 键 词：叠加训练序列 多输入多输出 信道估计 最小二乘估计 最小均方误差估计 

分 类 号：TN911.3[电子电信—通信与信息系统]