A minimax optimal decoder for OFDM over unknown frequency-selective fading channels

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

Abstract

We address the problem of decoding in unknown frequency selective fading channels, using an OFDM signaling scheme and adopting a block fading model. For a given codebook, we seek a decoder independent of the channel fading, whose worst case performance relative to a Maximum Likelihood (ML) decoder that knows the channel, is optimal. Specifically, the decoder is selected from a family of quadratic decoders, and the optimal decoder is referred to as a Quadratic Minimax (QMM) decoder for that family. The intuitively appealing QMM decoding procedure is derived for the case where the fading is unknown, and also for the case where the fading coefficients satisfy some general constraints. The QMM decoder is also shown to outperform the Generalized Likelihood Ratio Test (GLRT), while maintaining a comparable complexity. Simulations verify the superiority of the proposed decoder over the GLRT and over the practically used training sequence approach.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesIII869-III872
ISBN (Print)0780388747, 9780780388741
DOIs
StatePublished - 2005
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: 18 Mar 200523 Mar 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeIII
ISSN (Print)1520-6149

Conference

Conference2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Country/TerritoryUnited States
CityPhiladelphia, PA
Period18/03/0523/03/05

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