An efficient weighted bit-flipping algorithm for decoding LDPC codes based on log-likelihood ratio of bit error probability

Tso Cho Chen, Erl Huei Lu, Chia Jung Li, Kuo Tsang Huang

Research output: Contribution to journalJournal Article peer-review

1 Scopus citations

Abstract

In this paper, a weighted multiple bit flipping (WMBF) algorithman for decoding low-density parity-check (LDPC) codes is proposed first. Then the improved WMBF algorithm which we call the efficient weighted bit-flipping (EWBF) algorithm is developed. The EWBF algorithm can dynamically choose either multiple bit-flipping or single bit-flipping in each iteration according to the log-likelihood ratio of the error probability of the received bits. Thus, it can efficiently increase the convergence speed of decoding and prevent the decoding process from falling into loop traps. Compared with the parallel weighted bit-flipping (PWBF) algorithm, the EWBF algorithm can achieve significantly lower computational complexity without performance degradation when the Euclidean geometry (EG)-LDPC codes are decoded. Furthermore, the flipping criterion does not require any parameter adjustment.

Original languageEnglish
Pages (from-to)2095-2103
Number of pages9
JournalIEICE Transactions on Communications
VolumeE100B
Issue number12
DOIs
StatePublished - 12 2017

Bibliographical note

Publisher Copyright:
Copyright © 2017 The Institute of Electronics, Information and Communication Engineers.

Keywords

  • Convergence speed
  • Decoding algorithm
  • Log-likelihood ratio
  • Low-density parity-check codes
  • Multiple bit-flipping
  • Weighted bit-flipping

Fingerprint

Dive into the research topics of 'An efficient weighted bit-flipping algorithm for decoding LDPC codes based on log-likelihood ratio of bit error probability'. Together they form a unique fingerprint.

Cite this