• DocumentCode
    1174810
  • Title

    A factor graph approach to iterative channel estimation and LDPC decoding over fading channels

  • Author

    Niu, Huaning ; Shen, Manyuan ; Ritcey, James A. ; Liu, Hui

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
  • Volume
    4
  • Issue
    4
  • fYear
    2005
  • fDate
    7/1/2005 12:00:00 AM
  • Firstpage
    1345
  • Lastpage
    1350
  • Abstract
    This letter provides a comparative study of joint channel estimation and low-density parity-check decoding algorithms for flat Rayleigh fading channels based on the receiver factor graphs. Two approaches for joint channel estimation and decoding are proposed. Intensive simulation studies are carried out to evaluate the receiver sensitivity to the choice of the factor graph. Results show that when channel statistical information is not available at the receiver, a low-pass filtering approach gives a more robust and simpler solution, and it is only 0.5 dB worse than the optimum Wiener filtering. All methods have about 2 dB improvements over the noniterative receivers.
  • Keywords
    Rayleigh channels; Wiener filters; channel coding; channel estimation; filtering theory; graph theory; iterative decoding; low-pass filters; parity check codes; radio receivers; statistical analysis; Rayleigh fading channel; Wiener filtering; channel estimation; channel statistical information; factor graph approach; iterative receiver; low-density parity-check decoding algorithm; low-pass filtering approach; radio receiver; receiver sensitivity; Channel estimation; Fading; Information filtering; Information filters; Iterative algorithms; Iterative decoding; Iterative methods; Low pass filters; Parity check codes; Wiener filter; Factor graph; LDPC; PSAM; iterative receiver;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2005.850273
  • Filename
    1512089