基于训练序列的MIMO信道估计算法研究  

Study on Channel Estimation Based on the Training Sequence for MIMO System

作　　者：李化[1] 王华奎[1] 赵清华[1] 

机构地区：[1]太原理工大学信息工程学院,山西太原030024

出　　处：《太原理工大学学报》2008年第5期471-474,共4页Journal of Taiyuan University of Technology

摘　　要：针对MIMO系统,基于训练序列的信道估计方法,详细推导出ML、LS和LMMSE方法的估计值,并进行了性能比较。在一定条件下,信道系数矩阵的ML、LS估计值具有相同的表达形式。计算机仿真表明,LMMSE方法和ML、LS方法的估计效果基本一致。,在高信噪比、有限训练符号数、较少发射天线数的条件下,可以精确地估计出信道系数。Channel estimations of MIMO based on the training sequence are discussed. The estimation value in maximum likelihood, least square and linear minimum mean square error are deduced. The performances of these estimation values are compared. In some assumed condition, the expression of channel estimation of ML is same as LS. Computer simulations show that these methods almost have equal performance, and under the situation of the high signal noise rate, the finite training sequence and few sending aerial, channel coefficient could be estimated accurately.

关 键 词：MIMO 信道估计 最大似然估计 最小二乘估计 最小均方误差估计 

分 类 号：TN911.23[电子电信—通信与信息系统]