Decoder diversity architectures for finite alphabet iterative decoders

Bane Vasić, David Declercq, Shiva Kumar Planjery

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

Abstract

We present a finite alphabet iterative decoders (FAIDs), a new type of decoders for low-density parity check (LDPC) codes, which outperform much more complex belief-propagation-based counterparts in the error floor region. The FAID variable node update is a simple Boolean map, and we show that by varying this map one can achieve a class of decoders capable of correcting wide range of distinct error patterns uncorrectable by a single FAID. We call this concept decoding diversity, and present a low-complexity architecture and error performance analysis of the FAID diversity decoder for column-weight three LDPC codes on the binary symmetric channel.

Original languageEnglish (US)
Title of host publicationConference Record of the 48th Asilomar Conference on Signals, Systems and Computers
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages131-135
Number of pages5
ISBN (Electronic)9781479982974
DOIs
StatePublished - Apr 24 2015
Event48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 2 2014Nov 5 2014

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2015-April
ISSN (Print)1058-6393

Other

Other48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/2/1411/5/14

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Vasić, B., Declercq, D., & Planjery, S. K. (2015). Decoder diversity architectures for finite alphabet iterative decoders. In M. B. Matthews (Ed.), Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers (pp. 131-135). [7094412] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2015-April). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2014.7094412