Bit-level soft-decision decoding of triple-parity reed-solomon codes through automorphism groups

Vo Tam Van*, Seiichi Mita, Jing Tiffany Li, Chau Yuen, Yong Liang Guan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

This paper discusses bit-level soft decoding of triple-parity Reed-Solomon (RS) codes through automorphism permutation. A new method for identifying the automorphism groups of RS binary images is first developed. The new algorithm runs effectively, and can handle more RS codes and capture more automorphism groups than the existing ones. Utilizing the automorphism results, a new bit-level soft-decision decoding algorithm is subsequently developed for general (n,n-3,4) RS codes. Simulation on (31,28,4) RS codes demonstrates an impressive gain of more than 1 dB at the bit error rate of 10-5 over the existing algorithms.

Original languageEnglish
Article number6459504
Pages (from-to)553-556
Number of pages4
JournalIEEE Communications Letters
Volume17
Issue number3
DOIs
Publication statusPublished - 2013
Externally publishedYes

ASJC Scopus Subject Areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • automorphism groups
  • binary images
  • permutation decoding
  • Reed Solomon codes
  • soft decoding

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