Title :
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
fDate :
7/1/2006 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2006.874780