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On suboptimum component decoding for product codes

Author

Summary, in English

The performance and convergence behavior of the iterative schemes for decoding two-dimensional product codes are investigated. The decoding trajectories of the extrinsic and the a posteriori information are used as a main tool for predicting and explaining the behavior of the iterative decoding process. The component-wise optimal BCJR decoder is compared to the suboptimal max-log-MAP decoder and the list-based BEAST-APP decoder in terms of convergence and bit-error-rate performance. The results are illustrated by examples, which show that the BEAST-APP decoder achieves near-BCJR performance with significantly lower complexity

Publishing year

2006

Language

English

Pages

2240-2244

Publication/Series

2006 IEEE International Symposium on Information Theory

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • bit-error-rate
  • suboptimal max-log-MAP decoder
  • iterative decoding process
  • two-dimensional product codes
  • iterative schemes
  • product codes
  • suboptimum component decoding

Conference name

IEEE International Symposium on Information Theory, 2006

Conference date

2006-07-09 - 2006-07-14

Conference place

Seattle, WA, United States

Status

Published

ISBN/ISSN/Other

  • ISBN: 1-4244-0504-1