• DocumentCode
    1086151
  • Title

    Performance evaluation of low-density parity-check codes on partial-response channels using density evolution

  • Author

    Tan, Weijun ; Cruz, J.R.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
  • Volume
    52
  • Issue
    8
  • fYear
    2004
  • Firstpage
    1253
  • Lastpage
    1256
  • Abstract
    A method to evaluate the performance of a low-density parity-check (LDPC) code on partial-response (PR) channels in terms of the noise threshold and decoding error is presented. Given a particular codeword or assuming an independent and uniformly distributed (i.u.d.) codeword for transmission, the density-evolution algorithm is used to compute the probability density function of messages passing in the decoding process, from which the decoding error is extracted. This estimated i.u.d. decoding error is used to approximate the decoding error of an ensemble of LDPC codes on arbitrary PR channels. Comparison with simulation results shows that it is a very good approximation for the simulated codes, provided their length is large enough.
  • Keywords
    decoding; error statistics; message passing; parity check codes; partial response channels; probability; decoding error; density evolution algorithm; independent and uniformly distributed codeword; low-density parity-check codes; message passing; noise threshold; partial-response channels; probability density function; Bit error rate; Computational modeling; Distributed computing; Gaussian approximation; Intersymbol interference; Iterative decoding; Linear code; Message passing; Parity check codes; Probability density function; Density evolution; LDPC; PR; channels; codes; low-density parity-check; message-passing; partial-response;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2004.833029
  • Filename
    1327839