东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (8): 1105-1107.DOI: -

• 论著 • 上一篇    下一篇

平坦MIMO信道中最小均方误差估计的一种改进方法

沙毅;王彬;姚娜;徐晓景;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-08-15 发布日期:2013-06-22
  • 通讯作者: Sha, Y.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金跨科学部交叉重点项目(10433010)

Improved LMSE estimation algorithm for flat MIMO channel

Sha, Yi (1); Wang, Bin (1); Yao, Na (1); Xu, Xiao-Jing (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-08-15 Published:2013-06-22
  • Contact: Sha, Y.
  • About author:-
  • Supported by:
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摘要： 以平坦衰落条件下MIMO信道数学模型为基础,研究了最小均方误差估计算法,给出了详细的推导过程.由于最小均方误差估计算法比较复杂,导致其收敛速度比较慢,实际应用中受到了一定的限制.为了降低其复杂度,从数学的角度对算法进行了简化,减少了一次矩阵求逆运算.仿真中建立了一个MIMO系统,给出了估计性能曲线和收敛曲线.从理论分析和仿真结果来看,改进后的算法与之前的算法的估计性能差异不大,但收敛速度却明显提高了,达到了简化的目的.

关键词: 平坦MIMO信道, 信道估计, 最小均方误差, 矩阵求逆, 收敛性

Abstract: Based on the mathematical model of flat fading MIMO channel, the minimum mean square error (MMSE) estimation algorithm was studied with its derivation process given in detail. The LMSE estimation algorithm is so complex that its convergence rate is restricted to a certain extent and becomes slow in applications. To reduce its complexity, the algorithm is simplified mathematically with the inverse operation of first-order matrix cut out. An MIMO system is set up in simulation to provide the curves of estimation performance and those of convergence. The theoretical analysis and simulation results show that no obvious difference is found between the estimated performance of the improved algorithm and that of unimproved algorithm, but the convergence rate of improved algorithm is significantly increased. Thus the simplification is regarded as successful.

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