Skip to main content
  • Research Article
  • Published:

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

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yi Song.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Song, Y., Blostein, S.D. Channel Estimation and Data Detection for MIMO Systems under Spatially and Temporally Colored Interference. EURASIP J. Adv. Signal Process. 2004, 871924 (2004). https://doi.org/10.1155/S1110865704311194

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI: https://doi.org/10.1155/S1110865704311194

Keywords and phrases