Performance estimation of finite-length repeat-accumulate codes

Md Noor-A-Rahim, Nan Zhang*, Siyi Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

In this paper, the authors study the performance of finite-length repeat-accumulate (RA) codes in the waterfall region. Utilising density evolution technique, the authors present estimation algorithms to predict the error performance of finite-length RA codes over binary memoryless channels. Through comparison with numerical results, the authors show that the finite-length performance of RA codes can be closely estimated by using authors' proposed approach.

Original languageEnglish
Pages (from-to)1902-1905
Number of pages4
JournalIET Communications
Volume9
Issue number15
DOIs
Publication statusPublished - 15 Oct 2015

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