Training-based and semiblind channel estimation for MIMO system's with maximum ratio transmission

被引：17
|
作者：
Murthy, Chandra R. [1 ]
Jagannatham, Aditya K. [1 ]
Rao, Bhaskar D. [1 ]
机构：
[1] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2006年 / 54卷 / 07期
关键词：
beamforming; channel estimation; constrained estimation; Cramer-Rao bound; least squares; maximum ratio transmission (MRT); multiple-input multiple-output (MIMO); semiblind;
D O I：
10.1109/TSP.2006.874780
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper is a comparative study of training-based and semiblind multiple-input multiple-output (MIMO) flat-fading channel estimation schemes when the transmitter employs maximum ratio transmission (MRT). We present two competing schemes for estimating the transmit and receive beamforming vectors of the channel matrix: a training-based conventional least-squares estimation (CLSE) scheme and a closed-form semiblind (CFSB) scheme that employs training followed by information-bearing spectrally white data symbols. Employing matrix perturbation theory, we develop expressions for the mean-square error (MSE) in the beamforming vector, the average received signal-to-noise ratio (SNR) and the symbol error rate (SER) performance of both the semiblind and the conventional schemes. Finally, we describe a weighted linear combiner of the CFSB and CLSE estimates for additional improvement in performance. The analytical results are verified through Monte Carlo simulations.
引用
收藏
页码：2546 / 2558
页数：13
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