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Adaptive SNR estimation algorithms for decoding block turbo codes

TitleAdaptive SNR estimation algorithms for decoding block turbo codes
Publication TypeJournal Article
Year of Publication2010
AuthorsWang, K., X. Liu, and P. Cull
JournalKybernetes
Volume39
Issue8
Pagination1298 - 1304
Date Published2010
ISSN0368-492X
Keywordscodes, cybernetics, error analysis, iterative methods, programming and algorithm theory, signal processing
Abstract

Purpose – The purpose of this paper is to propose a novel decoding algorithm, to decrease the complexity in decoding conventional block turbo codes.

Design/methodology/approach – In this algorithm, the signal-to-noise ratio (SNR) values of channels are adaptively estimated. After analyzing the relationship between the statistics of the received vectors R and the channel SNR, an adaptive method of tuning the decoding complexity is presented.

Findings – Simulation results show that the proposed algorithm has greatly decreased the decoding complexity and sped up the decoding process while achieving better bit error rate performance.

Originality/value – Simulation experiments described in this paper show that the proposed algorithm can decrease the decoding complexity, shorten the decoding time and achieve good decoding performance.

DOI10.1108/03684921011063583
Short TitleKybernetes