On the detection of OFDM signals in the presence of strong phase noise

Stelios Stefanatos*, Andreas Polydoros, Aggelos K. Katsaggelos

*Corresponding author for this work

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

1 Scopus citations

Abstract

In this paper, the problem of optimum data detection in OFDM under severe phase noise (PHN) is addressed. Since direct maximization of the likelihood function is infeasible, the expectation-maximization (EM) algorithm is invoked as an iterative, feasible method of data detection. Two algorithms are proposed, one derived by direct application of the standard EM algorithm in the present context of OFDM data detection, whereas the other employs soft data estimates resulting in enhanced performance. The use of Kalman filtering is also examined as a means of complexity reduction and handling of the case of a non-negligible frequency offset (FO). The performance of the proposed algorithms is evaluated by simulations which show significant gains over the PHN-compensation method employed by OFDM-based standards.

Original languageEnglish (US)
Title of host publication2007 16th IST Mobile and Wireless Communications Summit
DOIs
StatePublished - Dec 1 2007
Event2007 16th IST Mobile and Wireless Communications Summit - Budapest, Hungary
Duration: Jul 1 2007Jul 5 2007

Publication series

Name2007 16th IST Mobile and Wireless Communications Summit

Other

Other2007 16th IST Mobile and Wireless Communications Summit
Country/TerritoryHungary
CityBudapest
Period7/1/077/5/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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