Universal decoding for Gaussian intersymbol interference channels

Wasim Huleihel; Neri Merhav

doi:10.1109/ISIT.2015.7282991

Universal decoding for Gaussian intersymbol interference channels

Wasim Huleihel, Neri Merhav

Technion-Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A universal decoding procedure is proposed for the intersymbol interference (ISI) Gaussian channels. The universality of the proposed decoder is in the sense of being independent of the various channel parameters, and at the same time, attaining the same random coding error exponent as the optimal maximum-likelihood (ML) decoder, which utilizes full knowledge of these unknown parameters. The proposed decoding rule can be regarded as a frequency domain version of the universal maximum mutual information (MMI) decoder. Contrary to previously suggested universal decoders for ISI channels, our proposed decoding metric can easily be evaluated.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2919-2923
Number of pages	5
ISBN (Electronic)	9781467377041
DOIs	https://doi.org/10.1109/ISIT.2015.7282991
State	Published - 28 Sep 2015
Externally published	Yes
Event	IEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong Duration: 14 Jun 2015 → 19 Jun 2015

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
Volume	2015-June
ISSN (Print)	2157-8095

Conference

Conference	IEEE International Symposium on Information Theory, ISIT 2015
Country/Territory	Hong Kong
City	Hong Kong
Period	14/06/15 → 19/06/15

Keywords

Universal decoding
error exponents
interference intersymbol (ISI)
maximum-likelihood (ML)
random coding

Access to Document

10.1109/ISIT.2015.7282991

Cite this

Huleihel, W., & Merhav, N. (2015). Universal decoding for Gaussian intersymbol interference channels. In Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015 (pp. 2919-2923). Article 7282991 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2015-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT.2015.7282991

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abstract = "A universal decoding procedure is proposed for the intersymbol interference (ISI) Gaussian channels. The universality of the proposed decoder is in the sense of being independent of the various channel parameters, and at the same time, attaining the same random coding error exponent as the optimal maximum-likelihood (ML) decoder, which utilizes full knowledge of these unknown parameters. The proposed decoding rule can be regarded as a frequency domain version of the universal maximum mutual information (MMI) decoder. Contrary to previously suggested universal decoders for ISI channels, our proposed decoding metric can easily be evaluated.",

keywords = "Universal decoding, error exponents, interference intersymbol (ISI), maximum-likelihood (ML), random coding",

author = "Wasim Huleihel and Neri Merhav",

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year = "2015",

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doi = "10.1109/ISIT.2015.7282991",

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Huleihel, W & Merhav, N 2015, Universal decoding for Gaussian intersymbol interference channels. in Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015., 7282991, IEEE International Symposium on Information Theory - Proceedings, vol. 2015-June, Institute of Electrical and Electronics Engineers Inc., pp. 2919-2923, IEEE International Symposium on Information Theory, ISIT 2015, Hong Kong, Hong Kong, 14/06/15. https://doi.org/10.1109/ISIT.2015.7282991

Universal decoding for Gaussian intersymbol interference channels. / Huleihel, Wasim; Merhav, Neri.
Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2919-2923 7282991 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2015-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Universal decoding for Gaussian intersymbol interference channels

Abstract

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Keywords

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