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Journal of Computer Networks and Communications
Volume 2014 (2014), Article ID 720546, 6 pages
Research Article

Analysis of MIMO Receiver Using Generalized Least Squares Method in Colored Environments

Department of Electrical and Computer Engineering, Laval University, Quebec City, QC, Canada G1V 0A6

Received 30 May 2014; Accepted 5 August 2014; Published 20 August 2014

Academic Editor: Rui Zhang

Copyright © 2014 Mohamed Lassaad Ammari and Paul Fortier. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The classical detection techniques for multiple-input multiple-output (MIMO) systems are usually designed with the assumption that the additive complex Gaussian noise is uncorrelated. However, for closely spaced antennas, the additive noise is correlated due to the mutual antenna coupling. This letter analyzes an improved zero-forcing (ZF) technique for MIMO channels in colored environments. The additive noise is assumed to be correlated and the Rayleigh MIMO channel is considered doubly correlated. The improved ZF detector, based on the generalized least squares estimator (GLS), takes into account the noise covariance matrix and provides an unbiased estimator of the transmitted symbol vectors. We introduce some novel bounds on the achievable sum rate, on the normalized mean square error at the receiver output, and on the outage probability. The derived expressions are compared to Monte Carlo simulations.