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A Novel Suboptimal Piecewise-Linear-log-MAP Algorithm for Turbo Decoding

dc.contributor.authorIvanov, Yu. Yu.en
dc.contributor.authorRomanyuk, A. N.en
dc.contributor.authorKulyk, A. Ya.en
dc.contributor.authorStukach, O. V.en
dc.contributor.authorІванов, Ю. Ю.uk
dc.contributor.authorРоманюк, О. Н.uk
dc.contributor.authorКулик, А. Я.uk
dc.contributor.authorСтукач, О. В.uk
dc.titleA Novel Suboptimal Piecewise-Linear-log-MAP Algorithm for Turbo Decodingen
dc.date.issued2015
dc.publisherТомская группа и студенческое отделение Института инженеров по электротехнике и радиоэлектронике ; Сибирский федеральный университетru
dc.identifier.citationA Novel Suboptimal Piecewise-Linear-log-MAP Algorithm for Turbo Decoding [Electronic resource] / Yu. Yu. Ivanov, A. N. Romanyuk, A. Ya. Kulyk, O. V. Stukach // Proceedings of the International Siberian Conference on Control and Communications (SIBCON), Russia, Omsk, May 21−23, 2015. – Omsk : Siberian Federal University. 2015. - DOI : 10.1109/SIBCON. 2015.7147195.uk
dc.relation.ispartofProceedings of the International Siberian Conference on Control and Communications (SIBCON), Russia, Omsk, May 21−23, 2015.en
dc.identifier.urihttp://ir.lib.vntu.edu.ua/handle/123456789/18296
dc.description.abstractIn this paper, a new suboptimal modification for the log-MAP turbo decoding algorithm is proposed. This method (PL-log-MAP) based on the piecewise linear approximation of the the compensation term (correction function) in the Jacobian logarithm used by the MAP (BCJR) decoder. Using the proposed approximation, the complex functions ln(.) and exp(.) in the log-MAP algorithm can be estimated with high accuracy and lower computational complexity. The efficacy of the proposed approximation is investigated and demonstrated by applying it to digital communication system. The performance of the PL-log-MAP algorithm is shown to have the closest performance to the original log-MAP solution.en
dc.typeArticle
dc.language.isoukuk
dc.date.accessioned2017-10-05T08:26:01Z
dc.date.available2017-10-05T08:26:01Z

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