An efficient decoding scheme for improved throughput in three dimensional turbo product codes based on single parity code

Byungkyu Ahn, Sangchul Ha, Sungsik Yoon, Jun Heo

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

2 Citations (Scopus)

Abstract

This study proposes an effective decoding method that can be used when the existing two dimensional Turbo Product code (TPC) with extended Hamming code is expanded to three dimensional TPC by applying Single Parity code (SPC). In the multidimensional TPC, the SPC is mainly used for increasing the code rate of the axis with short code length. However, the SPC is unable to correct errors, and therefore, its application only is unlikely to improve the performance of the three dimensional TPC. Moreover, its expanded dimensions decrease the throughput. To solve this problem, three types of decoding schemes are suggested. The first scheme is applied to form of mixed iterative decoding scheme that serial and parallel decoding method are used together. Secondly, Normalized Min-Sum (NMS) algorithm is used in axis with shortest code length. Finally, Partial sorting networks reduces clock consumption of least reliable values selection in Chase-Pyndiah algorithm.

Original languageEnglish
Title of host publicationProceedings of 2016 International Conference on Communication and Information Systems, ICCIS 2016
PublisherAssociation for Computing Machinery
Pages118-122
Number of pages5
ISBN (Electronic)9781450347914
DOIs
Publication statusPublished - 2016 Dec 16
Event2016 International Conference on Communication and Information Systems, ICCIS 2016 - Bangkok, Thailand
Duration: 2016 Dec 162016 Dec 18

Publication series

NameACM International Conference Proceeding Series

Other

Other2016 International Conference on Communication and Information Systems, ICCIS 2016
Country/TerritoryThailand
CityBangkok
Period16/12/1616/12/18

Keywords

  • Chase-Pyndiah algorithm
  • Extended Hamming code
  • Iterative decoding
  • Normalized minsum algorithm
  • Turbo product code

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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