Reduced-Complexity Trellis Min-Max Decoder for Non-Binary Ldpc Codes

Huyen Pham Thi, Hanho Lee

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

2 Scopus citations

Abstract

In this paper, a novel algorithm and corresponding reduced-complexity decoder architecture are proposed for decoding the trellis min-max NB-LDPC code. This proposal reduces the number of messages exchanged between check node and variable node as well as the hardware complexity. Thus, the memory requirement and the wiring congestion is decreased, which increases the throughput of the decoder with a negli - gible error-correcting performance loss. A layered decoder architecture is implemented for the (2304, 2048) NB-LDPC code over GF(16) based on the proposed algorithm with a 90-nm CMOS technology. The results show an area reduction of 19.4% for the check node unit, 26.56% for the whole decoder and a throughput of 1396 Mbps with almost similar error-correcting performance, compared to previous works.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1179-1182
Number of pages4
ISBN (Print)9781538646588
DOIs
StatePublished - 10 Sep 2018
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
Duration: 15 Apr 201820 Apr 2018

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2018-April
ISSN (Print)1520-6149

Conference

Conference2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Country/TerritoryCanada
CityCalgary
Period15/04/1820/04/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Check node processing
  • Layered decoding
  • Nonbinary LDPC codes
  • Trellis min-max
  • VLSI design

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