Implementation Aspects of LDPC Convolutional Codes

Ali Emre Pusane, Alberto Jimenez Feltström, Arvind Sridharan, Michael Lentmaier, Kamil Zigangirov, Daniel J. Costello Jr.

Research output: Contribution to journalArticlepeer-review

100 Citations (SciVal)


Potentially large storage requirements and long initial decoding delays are two practical issues related to the decoding of low-density parity-check (LDPC) convolutional codes using a continuous pipeline decoder architecture. In this paper, we propose several reduced complexity decoding strategies to lessen the storage requirements and the initial decoding delay without significant loss in performance. We also provide bit error rate comparisons of LDPC block and LDPC convolutional codes under equal processor (hardware) complexity and equal decoding delay assumptions. A partial syndrome encoder realization for LDPC convolutional codes is also proposed and analyzed. We construct terminated LDPC convolutional codes that are suitable for block transmission over a wide range of frame lengths. Simulation results show that, for terminated LDPC convolutional codes of sufficiently large memory, performance can be improved by increasing the density of the syndrome former matrix.
Original languageEnglish
Pages (from-to)1060-1069
JournalIEEE Transactions on Communications
Issue number7
Publication statusPublished - 2008

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering


  • spatial coupling
  • LDPC codes
  • LDPC convolutional codes


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