Adaptive recursive MLD using ordered statistics for low rate codes

Ryuhei Yokoyama, Takuya Kusaka, Toru Fujiwara

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

1 Citation (Scopus)

Abstract

A new adaptive recursive maximum likelihood decoding algorithm using ordered statistics is proposed. The average computational complexity of the algorithm is considerably small compared with the known algorithms. Preliminary simulation results for the (64,22,16) Reed-Muller code and the (64,24,16) extended BCH code are shown. The average number of additions and comparisons on soft-decision values becomes smaller than that for recursive MLD at SN ratios higher than or equal to Eb/N0 1[dB].

Original languageEnglish
Title of host publicationISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications
Pages772-777
Number of pages6
DOIs
Publication statusPublished - Dec 1 2010
Event2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010 - Taichung, Taiwan, Province of China
Duration: Oct 17 2010Oct 20 2010

Publication series

NameISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications

Other

Other2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010
CountryTaiwan, Province of China
CityTaichung
Period10/17/1010/20/10

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ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Yokoyama, R., Kusaka, T., & Fujiwara, T. (2010). Adaptive recursive MLD using ordered statistics for low rate codes. In ISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications (pp. 772-777). [5649626] (ISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications). https://doi.org/10.1109/ISITA.2010.5649626