A novel approximation of NDA ML estimation for UWB channels

  • Authors:
  • Yunfei Chen;Norman C. Beaulieu

  • Affiliations:
  • School of Engineering, University of Warwick, Coventry, UK;Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

  • Venue:
  • IEEE Transactions on Communications
  • Year:
  • 2010

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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.