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.
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Chun-Feng WU, Wen-Whei CHANG, "Iterative Source-Channel Decoding Using Symbol-Level Extrinsic Information" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 12, pp. 3555-3563, December 2010, doi: 10.1587/transcom.E93.B.3555.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.3555/_p
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@ARTICLE{e93-b_12_3555,
author={Chun-Feng WU, Wen-Whei CHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Iterative Source-Channel Decoding Using Symbol-Level Extrinsic Information},
year={2010},
volume={E93-B},
number={12},
pages={3555-3563},
abstract={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.},
keywords={},
doi={10.1587/transcom.E93.B.3555},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Iterative Source-Channel Decoding Using Symbol-Level Extrinsic Information
T2 - IEICE TRANSACTIONS on Communications
SP - 3555
EP - 3563
AU - Chun-Feng WU
AU - Wen-Whei CHANG
PY - 2010
DO - 10.1587/transcom.E93.B.3555
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2010
AB - 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.
ER -