Joint channel estimation and data detection for MIMO systems: A SAGE-based approach

The-Hanh Pham*, A. Nallanathan, Y. -C. Liang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The multi-input multi-output channel model has been widely considered for next generation multimedia wireless communication systems. In this paper, we consider the problem of joint channel estimation and data detection for MIMO systems under quasi-static channels with known and unknown spatially correlated noise. We propose two computationally efficient iterative receivers based on space-alternating generalized expectation-maximization (SAGE) algorithms. Bit error rate (BER) performance of the Maximum Likelihood (ML) receivers with perfect channel state information (CSI) is simulated and compared with the BER performance of the proposed iterative receivers. The results show that the proposed receivers exhibit near ML performance with a few iterations.

Original languageEnglish
Title of host publicationMILCOM 2006, Vols 1-7
Place of PublicationNEW YORK
PublisherIEEE
Pages2096-2102
Number of pages7
ISBN (Print)978-1-4244-0617-3
Publication statusPublished - 2006
EventIEEE Military Communications Conference (MILCOM 2006) - Washington, United Kingdom
Duration: 23 Oct 200625 Oct 2006

Conference

ConferenceIEEE Military Communications Conference (MILCOM 2006)
Country/TerritoryUnited Kingdom
Period23/10/200625/10/2006

Keywords

  • EM ALGORITHM

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