
Efficient LLR estimation for multistage decoding
Author(s) -
Al Bechlawi C.,
Guilloud F.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.1104
Subject(s) - decoding methods , algorithm , computer science , list decoding , computational complexity theory , encoding (memory) , coding (social sciences) , sequential decoding , lattice (music) , theoretical computer science , concatenated error correction code , mathematics , statistics , block code , artificial intelligence , physics , acoustics
Multilevel coding (MLC) provides a low‐complexity encoding scheme for lattices obtained via construction D. On the other hand, multistage decoding is also a practical decoding scheme for MLC provided that the underlying error correcting codes are capacity achieving, which requires using a powerful soft decoder for each code. Proposed is an approximation of the log‐likelihood ratio (LLR) which used for the soft decoding of the different error correcting codes employed in the lattice construction. This approximation is based on the von Mises distribution and achieves, with lower complexity, the same error rate performance obtained with the exact LLR calculation.