A semi-blind MIMO channel estimation scheme for MRT

被引：0
|
作者：
Jagannatham, AK [1 ]
Murthy, CR [1 ]
Rao, BD [1 ]
机构：
[1] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we investigate semi-blind channel estimation for multiple input multiple output (MIMO) quasi-static flat fading channels when maximum ratio transmission (MRT) is employed. We propose a closed-form semi-blind solution (CFSB) for estimating the optimum transmit and receive beamforming vectors of the channel matrix. Employing matrix perturbation theory, we develop expressions for the mean squared error (MSE) in the beamforming vector and average received SNR of both the semi-blind and the conventional least squares estimation (CLSE) schemes. It is found that the proposed estimation technique outperforms CLSE for a wide range of training lengths and training SNRs.
引用
收藏
页码：585 / 588
页数：4
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