Open Access

Channel Estimation and Data Detection for MIMO Systems under Spatially and Temporally Colored Interference

EURASIP Journal on Advances in Signal Processing20042004:871924

DOI: 10.1155/S1110865704311194

Received: 20 December 2002

Published: 23 May 2004

Abstract

The impact of interference on multiple-input multiple-output (MIMO) systems has recently attracted interest. Most studies of channel estimation and data detection for MIMO systems consider spatially and temporally white interference at the receiver. In this paper, we address channel estimation, interference correlation estimation, and data detection for MIMO systems under both spatially and temporally colored interference. We examine the case of one dominant interferer in which the data rate of the desired user could be the same as or a multiple of that of the interferer. Assuming known temporal interference correlation as a benchmark, we derive maximum likelihood (ML) estimates of the channel matrix and spatial interference correlation matrix, and apply these estimates to a generalized version of the Bell Labs Layered Space-Time (BLAST) ordered data detection algorithm. We then investigate the performance loss by not exploiting interference correlation. For a MIMO system undergoing independent Rayleigh fading, we observe that exploiting both spatial and temporal interference correlation in channel estimation and data detection results in potential gains of 1.5 dB and 4 dB for an interferer operating at the same data rate and at half the data rate, respectively. Ignoring temporal correlation, it is found that spatial correlation accounts for about 1 dB of this gain.

Keywords and phrases

multiple-input multiple-output interference channel estimation data detection

Authors’ Affiliations

(1)
Department of Electrical and Computer Engineering, Queen's University

Copyright

© Song and Blostein 2004