An iterative decoding method of updating redundant likelihood information

Masayuki Ariyoshi, Iwao Sasase

Research output: Contribution to journalArticlepeer-review


This paper presents a novel decoding algorithm for turbo codes, in which the likelihood values for redundant parts are updated in order for those values to become more reliable. A criterion for updating the redundant likelihood values is proposed, which is based on the comparisons of the channel values with the re-generated values by the soft-input and soft-output encoders. It is shown that the proposed method can improve the error correcting capabilities, i.e., the improvement of BER/BLER performance and the achievable BER limit.

Original languageEnglish
Pages (from-to)1045-1053
Number of pages9
JournalIEICE Transactions on Communications
Issue number3
Publication statusPublished - 2005
Externally publishedYes


  • Iterative decoding
  • Redundant likelihood update
  • SISO encoder
  • Soft-input RSC
  • Turbo code

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


Dive into the research topics of 'An iterative decoding method of updating redundant likelihood information'. Together they form a unique fingerprint.

Cite this