Reliability-Based Soft-Decision Decoding With Multiple Biases

Author

Jin, Wenyi ; Fossorier, Marc P C

Author_Institution

Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI

Volume

53

Issue

1

fYear

2007

Firstpage

105

Lastpage

120

Abstract

In this paper, a new reliability-based soft-decision decoding algorithm is presented. This algorithm repeatedly uses biased reliability values to construct the most-reliable-basis (MRB). As a result, this new method makes use of multiple information sets in a stochastic way. Compared to previously proposed competitive approaches, this new method produces a more efficient MRB reprocessing type algorithm to achieve near maximum-likelihood decoding (MLD) performance with a proper choice of the bias value. It can be combined with any MRB reprocessing type algorithm and in each case, a tight performance analysis can be derived

Keywords

maximum likelihood decoding; reliability theory; stochastic processes; MLD; MRB; maximum-likelihood decoding performance; most-reliable-basis; multiple information sets; reliability-based soft-decision decoding algorithm; stochastic way; Block codes; Error analysis; Error correction; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Performance analysis; Statistics; Stochastic processes; Linear block codes; Reed– Solomon codes; list decoding; maximum- likelihood decoding; order statistics; probabilistic decoding;

fLanguage

English

Journal_Title

Information Theory, IEEE Transactions on

Publisher

ieee

ISSN

0018-9448

Type

jour

DOI

10.1109/TIT.2006.887510

Filename

4039664