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An improved normalized min-sum algorithm for LDPC codes

  • Jinlei Chen
  • , Yan Zhang
  • , Ruiyi Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An improved normalized min-sum (IN-MS) algorithm is proposed for decoding low-density parity-check (LDPC) codes. In this algorithm, two normalized factors are used in check node computing, one for the minimum data and another for the second minimum data, and this algorithm achieves a better approximation to the BP algorithm. Simulation results show that the decoding performance of IN-MS algorithm is better than that of the normalized min-sum (NMS) algorithm.

Original languageEnglish
Title of host publication2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings
PublisherIEEE Computer Society
Pages509-512
Number of pages4
ISBN (Print)9781479901746
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Niigata, Japan
Duration: 16 Jun 201320 Jun 2013

Publication series

Name2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings

Conference

Conference2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013
Country/TerritoryJapan
CityNiigata
Period16/06/1320/06/13

Keywords

  • LDPC codes
  • LDPC decoding
  • normalized min-sum algorithm

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