Iterative source-channel decoding using symbol-level extrinsic information

Chun Feng Wu*, Wen-Whei Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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. Copyright

Original languageEnglish
Pages (from-to)3555-3563
Number of pages9
JournalIEICE Transactions on Communications
VolumeE93-B
Issue number12
DOIs
StatePublished - 1 Jan 2010

Keywords

  • Extrinsic information
  • Iterative source-channel decoding
  • Sectionalized code trellis

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