基于叠加训练序列的MIMO信道估计算法  

A Modified MIMO Channel Estimation Algorithm Based on Superimposed Training Sequence

作　　者：李化[1] 赵清华[1] 张玮[1,2] 王华奎[1] 

机构地区：[1]太原理工大学信息工程学院,山西太原030024 [2]太原理工大学化学化工学院,山西太原030024

出　　处：《计算机仿真》2010年第4期92-95,共4页Computer Simulation

摘　　要：针对提高无线信道的传输性能,提出了改进的基于叠加训练序列的MIMO信道估计算法。利用训练序列与信息序列的不相关特性,在没有带宽损失的情况下初步估计出信道参数;然后利用加权因子对信道参数在相邻信号段之间进行加权平均,得到最终的信道参数。与以往的叠加训练序列估计方法比较,利用算法具有更低的估计均方误差,且适用于时变信道。通过计算机仿真结果表明,估计方法提高了信道传输精度和性能。A Modified MIMO channel estimation algorithm based on superimposed training sequence was proposed for the frequency selective channel. In the first place, by exploiting the uncorrelation between the training and infor- mation sequences, primary channel parameters were obtained without loss of bandwidth. In the next place, accurate ultimate channel parameters were obtained by using different weight factors in neighboring channel parameters to a- chieve the weighted average. Compared with the existing approaches, this method can achieve lower NMSE, and is applicable to time - varying channel tracking. The simulation results show the effectiveness of the proposed algo- rithm.

关 键 词：多输入多输出 信道估计 叠加训练序列 

分 类 号：TN911.23[电子电信—通信与信息系统]