Extrinsic information in iterative decoding: a unified view
Open Access
- 1 December 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Communications
- Vol. 49 (12) , 2088-2094
- https://doi.org/10.1109/26.974255
Abstract
We address the use of the extrinsic information generated by each component decoder in an iterative decoding process. The BJCR algorithm proposed by Bahl et al. (1974) and the soft-output Viterbi algorithm (SOVA) are considered as component decoders. In both cases, we consider, in a unified view, various feedback schemes which use the extrinsic information in different fashions. Numerical results for a classical rate-1/2 turbo code and a serially concatenated code transmitted over a memoryless additive white Gaussian noise (AWGN) channel are provided. The performance of the considered schemes leads to interesting remarks about the nature of the extrinsic information.Keywords
This publication has 13 references indexed in Scilit:
- A Viterbi algorithm with soft-decision outputs and its applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A low complexity soft-output Viterbi decoder architecturePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Illuminating the structure of code and decoder of parallel concatenated recursive systematic (turbo) codesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domainPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Serial concatenation of interleaved codes: performance analysis, design, and iterative decodingIEEE Transactions on Information Theory, 1998
- On the equivalence between SOVA and max-log-MAP decodingsIEEE Communications Letters, 1998
- A primer on turbo code conceptsIEEE Communications Magazine, 1997
- A soft-input soft-output APP module for iterative decoding of concatenated codesIEEE Communications Letters, 1997
- Iterative correction of intersymbol interference: Turbo‐equalizationEuropean Transactions on Telecommunications, 1995
- Optimal decoding of linear codes for minimizing symbol error rate (Corresp.)IEEE Transactions on Information Theory, 1974