Presentation 1996/12/3
Recursive MAP Algorithm.
Hiroshi Yamamoto, Toru Fujiwara, Takuya Koumoto, Tadao Kasami,
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Abstract(in English) Using the MAP (maximum a posteriori probability) algorithm, we can minimize the symbol error probability and we can get soft output from the decoder. The Log-MAP algorithm can be implemented with addition and maximum functions, while the MAP algorithm requires multiplication. We proposed a recursive MLD (maximum likelihood decoding), procedure whose decoding complexity is very low, for linear block codes. In this paper, we review the MAP, the Log-MAP and the recursive MLD and then we discuss on the application of computing methods in the recursive MLD to the MAP algorithm. Even the most simple method, modifying a part of the Log-MAP algorithm into recursive algorithm, reduces the decoding complexity for the RM_<6,2> to 57% compared with conventional method.
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Keyword(in English) Block code / Linear code / Trellis diagram / MAP algorithm
Paper # IT96-44
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Conference Date 1996/12/3(1days)
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Registration To Information Theory (IT)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Recursive MAP Algorithm.
Sub Title (in English)
Keyword(1) Block code
Keyword(2) Linear code
Keyword(3) Trellis diagram
Keyword(4) MAP algorithm
1st Author's Name Hiroshi Yamamoto
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Toru Fujiwara
2nd Author's Affiliation Graduate School of Engineering Science, Osaka University
3rd Author's Name Takuya Koumoto
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Tadao Kasami
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 1996/12/3
Paper # IT96-44
Volume (vol) vol.96
Number (no) 394
Page pp.pp.-
#Pages 6
Date of Issue