Generalized LDPC codes and turbo-product codes with reed-muller component codes

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

3 Scopus citations

Abstract

A forward error correction (FEC) scheme based on generalized low-density parity-check (GLDPC) codes can improve overall characteristics of LDPC codes by decreasing the decoding complexity. We consider the GLDPC codes with Reed-Muller (RM) and Bose-Chaudhuri-Hocquenghem (BCH) component codes. GLDPC codes with RM codes as component codes is an attractive option for high-speed applications, such as optical communications, because they provide excellent coding gains, while the RM codes can be decoded using low-complexity maximum a posteriori probability (MAP) decoding algorithm due to Ashikhmin and Lytsin, based on Walsh-Hadamard transform. Several classes of GLDPC codes (with component RM or BCH codes) outperforming the turbo product codes are presented. Several turbo product codes suitable for use in high-speed transmission are identified as well.

Original languageEnglish (US)
Title of host publication8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, TELSIKS 2007, Proceedings of Papers
Pages127-134
Number of pages8
DOIs
StatePublished - 2007
EventTELSIKS 2007 - 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services - Nis, Serbia
Duration: Sep 26 2007Sep 28 2007

Publication series

Name8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, TELSIKS 2007, Proceedings of Papers

Other

OtherTELSIKS 2007 - 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services
Country/TerritorySerbia
CityNis
Period9/26/079/28/07

Keywords

  • BCH codes
  • Forward error correction (FEC)
  • Generalized low-density parity-check (GDLPC) codes
  • Optical communications
  • Reed-muller (RM) codes
  • Turbo-product codes
  • Walsh-hadamard transform

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Communication

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