Implementation Aspects of LDPC Convolutional Codes

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Abstract

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.

Detaljer

Författare
  • Ali Emre Pusane
  • Alberto Jimenez Feltström
  • Arvind Sridharan
  • Michael Lentmaier
  • Kamil Zigangirov
  • Daniel J. Costello Jr.
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Elektroteknik och elektronik

Nyckelord

Originalspråkengelska
Sidor (från-till)1060-1069
TidskriftIEEE Transactions on Communications
Volym56
Utgivningsnummer7
StatusPublished - 2008
PublikationskategoriForskning
Peer review utfördJa