• DocumentCode
    2026436
  • Title

    Parametric Versus Nonparametric Data-Aided Channel Estimation in a Multipath Fading Environment

  • Author

    Van Welden, D. ; Moeneclaey, M. ; Steendam, H.

  • Author_Institution
    DIGCOM Res. Group, Ghent Univ.
  • fYear
    2006
  • fDate
    23-23 Nov. 2006
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    This paper compares a parametric and a nonparametric channel estimation method in a multipath fading environment. In the parametric method the gains and delays are estimated and these estimates are used to compute the samples of the received symbol pulse. In the nonparametric method the samples of the received pulse are estimated directly, ignoring the underlying multipath channel structure. We compare these two channel estimation methods in terms of accuracy (characterized by the MSE on the samples of the received pulse) and computational complexity. We also investigate the influence of channel estimation errors on the BER of a decision feedback equalizer
  • Keywords
    channel estimation; decision feedback equalisers; error statistics; fading channels; mean square error methods; multipath channels; BER; MSE; decision feedback equalizer; multipath fading environment; nonparametric data-aided channel estimation; received symbol pulse; Bit error rate; Channel estimation; Computational complexity; Decision feedback equalizers; Delay estimation; Fading; Iterative algorithms; Maximum likelihood estimation; Multipath channels; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Vehicular Technology, 2006 Symposium on
  • Conference_Location
    Liege
  • Print_ISBN
    0-7803-9785-1
  • Electronic_ISBN
    0-7803-9785-1
  • Type

    conf

  • DOI
    10.1109/SCVT.2006.334354
  • Filename
    4133797