Near maximum likelihood soft-decision decoding of a particular class of rate-1/2 systematic linear block codes | Zendy

Patrick Adde | Zendy; Christophe Jégo | Zendy; Raphaël Le Bidan | Zendy

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Near maximum likelihood soft-decision decoding of a particular class of rate-1/2 systematic linear block codes

Author(s) -

Patrick Adde,

Christophe Jégo,

Raphaël Le Bidan

Publication year - 2011

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

eISSN - 1350-911X

pISSN - 0013-5194

DOI - 10.1049/el.2010.7857

Subject(s) - decoding methods , computer science , algorithm , encoding (memory) , block code , block (permutation group theory) , class (philosophy) , sequential decoding , theoretical computer science , mathematics , artificial intelligence , combinatorics

International audiencePresented is a soft-decision decoding algorithm for a particular class of rate-1/2 systematic linear block codes. The proposed algorithm performs successive re-encoding of both the data and parity bits, to produce a list of codewords among which the most likely candidate is chosen. Simulation results show that close to optimal performance can be obtained at reasonable complexity. They validate the potential of the proposed algorithm as a practical approach for soft-decision decoding

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