• DocumentCode
    3070746
  • Title

    Error Floor Analysis of LT Codes over the Additive White Gaussian Noise Channel

  • Author

    Hussain, Iqbal ; Xiao, Ming ; Rasmussen, Lars K.

  • Author_Institution
    Commun. Theor. Lab., KTH-R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We investigate the error floor performance of Luby Transform (LT) codes over the additive white Gaussian noise channel. We first derive a lower bound on the bit error rate for an LT code, which we subsequently use to show that the corresponding error floor is predominantly caused by low-degree variable nodes. Based on this observation, we propose a modified encoding scheme for LT codes that provides a lower error floor with no increase in encoding and decoding complexities. The convergence behavior of the proposed scheme is analyzed using extrinsic information transfer charts, and shown to be similar to the original LT code. Numerical examples demonstrate the improvements of the modified LT code as a stand-alone code and as a component code of a Raptor code.
  • Keywords
    AWGN channels; communication complexity; decoding; error statistics; transform coding; LT codes; Luby transform codes; Raptor code; additive white Gaussian noise channel; bit error rate; component code; convergence behavior; decoding complexity; encoding complexity; error floor analysis; error floor performance; extrinsic information transfer charts; low-degree variable nodes; modified encoding scheme; stand-alone code; AWGN channels; Bit error rate; Convergence; Decoding; Encoding; Generators; Peer to peer computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
  • Conference_Location
    Houston, TX, USA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-9266-4
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2011.6133650
  • Filename
    6133650