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IEICE TRANSACTIONS on Communications

Iterative Source-Channel Decoding Using Symbol-Level Extrinsic Information

Chun-Feng WU, Wen-Whei CHANG

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Summary :

Transmission of convolutionally encoded source-codec parameters over noisy channels can benefit from the turbo principle through iterative source-channel decoding. We first formulate a recursive implementation based on sectionalized code trellises for MAP symbol decoding of binary convolutional codes. Performance is further enhanced by the use of an interpolative softbit source decoder that takes into account the channel outputs within an interleaving block. Simulation results indicate that our proposed scheme allows to exchange between its constituent decoders the symbol-level extrinsic information and achieves high robustness against channel noises.

Publication
IEICE TRANSACTIONS on Communications Vol.E93-B No.12 pp.3555-3563
Publication Date
2010/12/01
Publicized
Online ISSN
1745-1345
DOI
10.1587/transcom.E93.B.3555
Type of Manuscript
PAPER
Category
Fundamental Theories for Communications

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