• DocumentCode
    1459684
  • Title

    Maximum-likelihood based estimation of the Nakagami m parameter

  • Author

    Cheng, Julian ; Beaulieu, Norman C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
  • Volume
    5
  • Issue
    3
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    101
  • Lastpage
    103
  • Abstract
    Maximum-likelihood estimation of the Nakagami (1960) m parameter is considered. Two new estimators are proposed and examined. The sample mean and the sample variance of the new estimators are compared with the best reported estimator. The new estimators offer superior performance.
  • Keywords
    fading channels; maximum likelihood estimation; multipath channels; probability; radio links; signal sampling; MLE; Nakagami m parameter; PDF; approximate ML estimators; maximum-likelihood estimation; multipath fading; performance; probability density function; radio links; sample mean; sample variance; Fading; Gaussian distribution; H infinity control; Maximum likelihood estimation; Nakagami distribution; Parameter estimation; Probability density function; Radio link; Random variables; Rayleigh channels;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/4234.913153
  • Filename
    913153
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1459684