• DocumentCode
    1316660
  • Title

    A Novel Approximation of NDA ML Estimation for UWB Channels

  • Author

    Chen, Yunfei ; Beaulieu, Norman C.

  • Author_Institution
    Sch. of Eng., Univ. of Warwick, Coventry, UK
  • Volume
    58
  • Issue
    10
  • fYear
    2010
  • fDate
    10/1/2010 12:00:00 AM
  • Firstpage
    2795
  • Lastpage
    2798
  • Abstract
    Novel non-data-aided near-maximum-likelihood estimators for the delays and the attenuations in an ultra-wide bandwidth channel are proposed by using an approximation to the maximum likelihood equation. Numerical results show that these new estimators outperform previous approximate non-data-aided maximum likelihood channel estimators reported in the literature. Moreover, in some cases, the performances of the new non-data-aided estimators approach those of the data-aided estimators, enabling a reduction in the overhead expense of pilot symbols.
  • Keywords
    bandwidth allocation; maximum likelihood estimation; ultra wideband communication; wireless channels; NDA ML estimation; UWB channels; maximum likelihood equation; nondata-aided estimators; nondata-aided near-maximum-likelihood estimators; ultra-wide bandwidth channel; Approximation methods; Channel estimation; Delay; Fading; Maximum likelihood estimation; Multipath channels; Signal to noise ratio; Estimation; maximum likelihood; non-data-aided; ultra-wide bandwidth;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2010.082710.080097
  • Filename
    5567005