Iterative decoding threshold analysis for LDPC convolutional codes

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Abstract

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.

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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • 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
Original languageEnglish
Pages (from-to)5274-5289
JournalIEEE Transactions on Information Theory
Volume56
Issue number10
Publication statusPublished - 2010
Publication categoryResearch
Peer-reviewedYes

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