• DocumentCode
    3385576
  • Title

    Linear LLR approximation for LDPC decoding using a Gaussian approximation

  • Author

    Xinyi Zhong ; Youyun Xu ; Kui Xu

  • Author_Institution
    Coll. of Commun. Eng., PLAUST, Nanjing, China
  • fYear
    2013
  • fDate
    23-25 March 2013
  • Firstpage
    1229
  • Lastpage
    1231
  • Abstract
    In fading channels, the computation of Loglikelihood ratio (LLR) without channel state information (CSI) is complicated. The maximum capacity linear approximation (MCLA) has been proposed to reduce the computational complexity of LLR. However, the computation of LLR´ probability density function (PDF) is still complicated due to numerical integrations. To overcome this shortage, we propose a simple Gaussian approximation to PDF of LLR. Using our proposed method, the computational complexity is significantly reduced and the BER performance is still very close to that of the MCLA in uncorrelated Rayleigh fading channels.
  • Keywords
    Rayleigh channels; approximation theory; computational complexity; decoding; error statistics; parity check codes; probability; BER; Gaussian approximation; LDPC decoding; MCLA; PDF; bit error rate; channel state information; computational complexity; linear LLR approximation; log likelihood ratio; maximum capacity linear approximation; probability density function; uncorrelated Rayleigh fading channels; Bit error rate; Computational complexity; Fading; Gaussian approximation; Parity check codes; Probability density function; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2013 International Conference on
  • Conference_Location
    Yangzhou
  • Print_ISBN
    978-1-4673-5137-9
  • Type

    conf

  • DOI
    10.1109/ICIST.2013.6747759
  • Filename
    6747759