Error bounds for repeat-accumulate codes decoded via linear programming

Idan Goldenberg*, David Burshtein

*Corresponding author for this work

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

2 Scopus citations

Abstract

We examine regular and irregular repeat-accumulate (RA) codes with repetition degrees which are all even. For these codes and with a particular choice of an interleaver, we give an upper bound on the decoding error probability of a linear-programming based decoder which is an inverse polynomial in the block length. Our bound is valid for any memoryless, binary-input, output-symmetric (MBIOS) channel. This result generalizes the bound derived by Feldman et al., which was for regular RA(2) codes.

Original languageEnglish
Title of host publication6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010
Pages43-47
Number of pages5
DOIs
StatePublished - 2010
Event6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010 - Brest, France
Duration: 6 Sep 201010 Sep 2010

Publication series

Name6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010

Conference

Conference6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010
Country/TerritoryFrance
CityBrest
Period6/09/1010/09/10

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