MIMO系统中基于训练序列的半盲估计  

Training Sequence-based Semi-blind Channel Estimation for MIMO System

作　　者：胡高平[1] 宋金宝[1] 

机构地区：[1]中国传媒大学信息工程学院,北京100024

出　　处：《中国传媒大学学报（自然科学版）》2009年第1期29-32,共4页Journal of Communication University of China：Science and Technology

摘　　要：在无线的MIMO(Multiple-input Multiple-output)通信系统中,应用半盲信道估计能提高系统带宽效率,降低计算复杂度。本文在分析比较了频率选择性MIMO信道下,基于训练序列的确定性最大似然估计和高斯最大似然估计两种半盲估计算法的基础上,给出了两种算法的Cramer-Rao Bound(CRB),得出了仿真结果,并将其与相应的CRB进行了比较。In wireless MIMO （Multiple-input Multiple-output） communication system, the application of semi-blind channel estimation will improve the system bandwidth utilization efficiency and reduce the complexity of calculating. After the analysis and comparison of the frequency-selective MIMO channel, based on the two kinds of semi-blind estimation algorithm which are the training sequence based deter- ministic maximum likelihood （DML） channel estimation and the Gaussian maximum likelihood （GML） channel estimation, this research presents two kinds of algorithmic CRB, gives the emulation results, and compares it to the corresponding CRB as well.

关 键 词：MIMO 半盲信道估计 确定性最大似然估计 高斯最大似然估计 CRB 

分 类 号：TN911.23[电子电信—通信与信息系统]