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Iterative decoding threshold analysis for LDPC convolutional codes

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Author

Summary, in English

An iterative decoding threshold analysis for terminated regular LDPC convolutional (LDPCC) codes is presented. Using density evolution techniques, the convergence behavior of an iterative belief propagation decoder is analyzed for the binary erasure channel and the AWGN channel with binary inputs. It is shown that for a terminated LDPCC code ensemble, the thresholds are better than for corresponding regular and irregular LDPC block codes.

Publishing year

2010

Language

English

Pages

5274-5289

Publication/Series

IEEE Transactions on Information Theory

Volume

56

Issue

10

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • threshold analysis
  • density evolution
  • Belief propagation
  • iterative decoding
  • low-density
  • LDPC convolutional codes
  • message passing
  • parity-check (LDPC) codes

Status

Published

Research group

  • Information Theory

ISBN/ISSN/Other

  • ISSN: 0018-9448