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SGA based symbol detection and EM channel estimation for MIMO systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
Number of pages5
StatePublished - May 2006
Event2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia


Conference2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring


This paper investigates iterative channel estimation and symbol detection for spatial multiplexing multiple input multiple output (MIMO) systems with frequency flat block fading channels using the expectation-maximization (EM) algorithm. The maximum likelihood (ML) estimation of the MIMO channels via the EM algorithm requires the computation of the posterior mean and covariance of transmit symbol vectors which involve an exhaustive search of all possible symbol combinations and are computationally prohibitive for large systems. However, most of the symbol combinations contribute very little to the estimation. Therefore, we suggest that sequential Gaussian approximation (SGA) algorithm can be used to identify the M most significant symbol combinations and we can approximate the mean and covariance based on those symbol combinations. Simulation results are provided to illustrate the proposed algorithm. © 2006 IEEE.

Additional information

Publisher: Institute of Electrical and Electronics Engineers (IEEE) Name and Venue of Conference: Vehicular Technology Conference 2006 (VTC 2006-Spring), Melbourne, Australia Rose publication type: Conference contribution Sponsorship: The authors would like to acknowledge the fruitful discussions with the researchers at Toshiba Research Europe Ltd (Telecommunications Research Laboratory, Bristol) and the support of its directors. The first author would like to thank Toshiba Research Europe Ltd (Telecommunications Research Laboratory, Bristol) for supporting his PHD study at University of Bristol Terms of use: Copyright © 2006 IEEE. Reprinted from Proceedings of IEEE Vehicular Technology Conference, Spring 2006. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.


2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring

Duration7 May 200610 Jul 2006

Event: Conference

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