Reliability-Based Soft-Decision Decoding With Multiple Biases

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 p...

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Bibliographic Details
Published in:IEEE transactions on information theory 2007-01, Vol.53 (1), p.105-120
Main Authors: Jin, W., Fossorier, M.P.C.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Bias
Block codes
Codes
Coding, codes
Construction
Decoding
Error analysis
Error correction
Exact sciences and technology
Information theory
Information, signal and communications theory
Iterative algorithms
Iterative decoding
Linear block codes
list decoding
Maximum likelihood decoding
Maximum likelihood estimation
Modulus of rupture in bending
order statistics
Performance analysis
probabilistic decoding
Reed- Solomon codes
Reprocessing
Signal and communications theory
Statistics
Stochastic processes
Stochasticity
Telecommunications and information theory
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Summary: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
ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.2006.887510