Training-based and semiblind channel estimation for MIMO systems with maximum ratio transmission

Author

Murthy, Chandra R. ; Jagannatham, Aditya K. ; Rao, Bhaskar D.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA

Volume

54

Issue

7

fYear

2006

fDate

7/1/2006 12:00:00 AM

Firstpage

2546

Lastpage

2558

Abstract

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

Keywords

MIMO systems; Monte Carlo methods; channel estimation; fading channels; least squares approximations; matrix algebra; MIMO systems; MSE; Monte Carlo simulations; beamforming vectors; channel matrix; closed-form semiblind scheme; conventional least-squares estimation scheme; flat-fading channels; information-bearing; matrix perturbation theory; maximum ratio transmission; mean-square error; semiblind channel estimation; signal-to-noise ratio; symbol error rate; training-based estimation; Array signal processing; Channel estimation; Error analysis; Fading; Least squares approximation; MIMO; Signal to noise ratio; Training data; Transmitters; Vectors; Beamforming; Cramer–Rao bound; channel estimation; constrained estimation; least squares; maximum ratio transmission (MRT); multiple-input multiple-output (MIMO); semiblind;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2006.874780

Filename

1643894