Soft-input soft-output decoding algorithm of linear block codes based on minimum distance search

Jun Asatani, Takuya Kusaka, Toru Fujiwara, Tadao Kasami

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

1 Citation (Scopus)

Abstract

A new soft-input soft-output (SISO) decoding algorithm based on minimum distance search (MDS), called SISO-IMDS, is presented. The bit error rate of the proposed SISO decoding algorithm is almost the same as those of Max-Log-MAP and Log-MAP algorithms. Moreover, the average decoding complexity of the MDS based SISO decoding algorithm is much smaller than those of trellis-based SISO decoding algorithms. Consequently, the proposed SISO-IMDS can be applied in practical iterative decoding algorithms for a product code and a block turbo code.

Original languageEnglish
Title of host publicationIEEE International Symposium on Information Theory - Proceedings
Pages345
Number of pages1
Publication statusPublished - 2004
EventProceedings - 2004 IEEE International Symposium on Information Theory - Chicago, IL, United States
Duration: Jun 27 2004Jul 2 2004

Other

OtherProceedings - 2004 IEEE International Symposium on Information Theory
CountryUnited States
CityChicago, IL
Period6/27/047/2/04

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Asatani, J., Kusaka, T., Fujiwara, T., & Kasami, T. (2004). Soft-input soft-output decoding algorithm of linear block codes based on minimum distance search. In IEEE International Symposium on Information Theory - Proceedings (pp. 345)