Improvement on turbo code decoder by updating redundant likelihood information

Masayuki Ariyoshi, Iwao Sasase

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

Abstract

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
Title of host publicationIEEE Vehicular Technology Conference
Pages1014-1018
Number of pages5
Volume59
Edition2
Publication statusPublished - 2004
Event2004 IEEE 59th Vehicular Technology Conference, VTC2004-Spring: Towards a Global Wireless World - Milan, Italy
Duration: 2004 May 172004 May 19

Other

Other2004 IEEE 59th Vehicular Technology Conference, VTC2004-Spring: Towards a Global Wireless World
CountryItaly
CityMilan
Period04/5/1704/5/19

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Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Ariyoshi, M., & Sasase, I. (2004). Improvement on turbo code decoder by updating redundant likelihood information. In IEEE Vehicular Technology Conference (2 ed., Vol. 59, pp. 1014-1018)