A semi-blind MIMO channel estimation scheme for MRT

Author

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

Author_Institution

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

Volume

3

fYear

2005

fDate

18-23 March 2005

Abstract

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.

Keywords

MIMO systems; channel estimation; fading channels; least squares approximations; matrix algebra; mean square error methods; vectors; MIMO channels; MSE; average received SNR; channel matrix; closed-form semiblind solution; least squares estimation; matrix perturbation theory; maximum ratio transmission; mean squared error; multiple input multiple output channels; quasistatic flat fading channels; receive beamforming vectors; semiblind MIMO channel estimation; semiblind channel estimation; transmit beamforming vectors; Algorithm design and analysis; Array signal processing; Channel estimation; Covariance matrix; Fading; Feedback; Least squares approximation; MIMO; Matrix decomposition; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1415777

Filename

1415777