Iterative source-channel decoder using symbol-level extrinsic information

  • Authors:

  • Yen-Chang Pan;Chun-Feng Wu;Wen-Whei Chang

  • Affiliations:

  • Department of Communications Engineering, National Chiao-Tung University, Hsinchu, Taiwan, ROC;Department of Communications Engineering, National Chiao-Tung University, Hsinchu, Taiwan, ROC;Department of Communications Engineering, National Chiao-Tung University, Hsinchu, Taiwan, ROC

  • Venue:
  • ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
  • Year:
  • 2009

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Abstract

An iterative source-channel decoding scheme which exploits the source residual redundancies on symbol-basis is proposed. We first derive a modified BCJR algorithm based on the sectionalized code trellis for symbol decoding of the convolutional codes. This is used in conjunction with a softbit source decoder that computes the interpolative a posteriori probabilities of quantizer indexes. Simulation results indicate that our proposed scheme can achieve significant improvement over the conventional bit-level schemes.