An architectural comparison of reed-solomon soft-decoding algorithms

Arshad Ahmed, Naresh R. Shanbhag, Ralf Koetter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reed-Solomon codes are used as error-correcting codes in diverse communication system applications. The decoding performance of traditional hard-decision Reed-Solomon decoders can be improved via the use of sonft-decoding algorithms such as generalized minimum distance decoding, algebraic sonft-decision decoding, and ordered statistics decoding. While it is relatively straight-forward to compare the decoding performance of these algorithms, it is harder to compare their hardware complexity. This is because an efficient architecture has a dramatic effect on the final implementation complexity. In this paper, we present efficient hardware architectures for each of the sonft-decoding algorithms and compare their implementation complexity.

Original languageEnglish (US)
Title of host publicationConference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages912-916
Number of pages5
DOIs
StatePublished - 2006
Event40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States
Duration: Oct 29 2006Nov 1 2006

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
Country/TerritoryUnited States
CityPacific Grove, CA
Period10/29/0611/1/06

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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