Performance of Subspace based Semi-blind Channel Estimation in MIMO Systems

被引:1
作者
Dinh-Thuan Do [1 ]
Dinh-Thanh Vu [2 ]
机构
[1] Ho Chi Minh City Univ Sci, Dept Commun Engn, Ho Chi Minh City, Vietnam
[2] Ho Chi Minh City Univ Technol, Dept Commun Engn, Ho Chi Minh City, Vietnam
来源
2010 INTERNATIONAL CONFERENCE ON NETWORKING AND INFORMATION TECHNOLOGY (ICNIT 2010) | 2010年
关键词
MIMO; least square; semi-blind channel;
D O I
10.1109/ICNIT.2010.5508524
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
To meet the demand of high data rate transmission in multimedia century, the multiple-input multiple-output (MIMO) technique have been chosen as key solution in the advanced wireless communications. Generally, the training-based least square (LS) algorithm is considered as the simplest one for MIMO channel estimation. For resolving the bandwidth efficiency problem, we can combine the LS estimation with the pure blind techniques such as second-order statistics (SOS). In this investigation, we attempt to find the combined scheme which is so-called semi-blind channel estimation and outperforms than the conventional LS based approaches. Simulation results confirm our modified scheme and illustrate that the subspace based new semi-blind channel estimation is capable of improving the performance of the overall system.
引用
收藏
页码:231 / 234
页数:4
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