MIMO-OFDM系统的信道估计方法

Channel estimation method based on MIMO-OFDM system

在第三代移动通信组织给出的空间无线信道模型(3GPP-SCM)下,基于多输入多输出天线频分复用系统(MIMO-OFDM),设计了基于最小均方误差准则的信道估计器。由于最小均方误差信道估计器是在最大似然信道估计器的基础上基于统计信息的去噪处理,在3GPP-SCM中利用蒙特卡罗方法对不同种典型信道环境做自相关系数统计,得到信道的先验统计信息,进而设计并实现了基于MIMO-OFDM系统的最小均方误差信道估计器。通过仿真,验证了最小均方误差信道估计器相对于最大似然信道估计的准确性,并在误码率方面,带来更好的系统性能。

This paper deals with the Minimum Mean Square Error Estimation（MMSEE） of Spatial Channel Mode（lSCM） proposed by the Third Generation Partnership Projec（t3GPP） based on Multiple Input Multiple Outpu（tMIMO） Orthogonal Frequency Division Multiplexing（OFDM） system.In particular,MMSEE is focused on the basis of Maximum Likelihood Estimation（MLE）.Since statistical information is the critical element of MMSEE,the generation of coefficients of autocorrelation in SCM with different data rates is derived.Utilizing Ment Carlo method,the prior channel information is gotten.Simulation results verify the accuracy of MMSEE over MLE in terms of mean square error and better BER performance in three typical wireless environment of SCM.