Joint data detection and channel tracking for OFDM systems using the variational bayes method

Stelios Stefanatos*, Aggelos K. Katsaggelos

*Corresponding author for this work

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

2 Scopus citations

Abstract

This paper addresses the problem of data detection in OFDM systems operating under a time-varying multipath fading channel. Optimal detection in such a scenario is infeasible, which makes the introduction of approximations necessary. The variational Bayes method is employed here, which approximates the joint data and channel distribution as a separable one, greatly simplifying the problem. The data detection part of the resulting algorithm provides soft data estimates that are used for channel tracking. The channel itself is modeled as an auto-regressive process allowing for a Kalman-like tracking algorithm. According to the developed algorithm, both data and channel estimates are exchanged and updated in an iterative manner. Performance of the proposed algorithm is evaluated by simulations.

Original languageEnglish (US)
Title of host publicationSPAWC 2007 - 8th IEEE Workshop on Signal Advances in Wireless Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424409551, 9781424409556
DOIs
StatePublished - Jan 1 2007
Event8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007 - Helsinki, Finland
Duration: Jun 17 2007Jun 20 2007

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other8th IEEE Signal Processing Advances in Wireless Communications, SPAWC 2007
CountryFinland
CityHelsinki
Period6/17/076/20/07

ASJC Scopus subject areas

  • Signal Processing
  • Engineering(all)

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