Iterative decoding algorithms updating likelihood and channel values based on interim hard decision results

M. Ariyoshi, I. Sasase

Research output: Contribution to journalConference article

Abstract

This paper presents novel decoding algorithms for turbo codes, in which the likelihood and channel values are updated in order for those values to become closer to the true values thorough the iterative decoding procedure. The criteria for updating the likelihood and channel values are proposed, those are based on the simple means to compare the interim hard decision results from each of component decoders.

Original languageEnglish
Number of pages1
JournalIEEE International Symposium on Information Theory - Proceedings
Publication statusPublished - 2000 Dec 1
Event2000 IEEE International Symposium on Information Theory - Serrento, Italy
Duration: 2000 Jun 252000 Jun 30

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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