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

C.R. Murthy | Zendy; A.K. Jagannatham | Zendy; B.D. Rao | Zendy

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

Author(s) -

C.R. Murthy,

A.K. Jagannatham,

B.D. Rao

Publication year - 2006

Publication title -

ieee transactions on signal processing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.638

H-Index - 270

eISSN - 1941-0476

pISSN - 1053-587X

DOI - 10.1109/tsp.2006.874780

Subject(s) - signal processing and analysis , communication, networking and broadcast technologies , computing and processing

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.

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