• DocumentCode
    87384
  • Title

    MAP Estimation of the Ricean K Factor

  • Author

    Beaulieu, Norman C. ; Yunfei Chen

  • Author_Institution
    Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    38
  • Issue
    2
  • fYear
    2015
  • fDate
    Spring 2015
  • Firstpage
    130
  • Lastpage
    131
  • Abstract
    An estimator for the Ricean K factor is designed by approximating the maximum a posterior (MAP) probability. The performance of the approximate MAP estimator is examined. Numerical results show that the approximate MAP estimator outperforms the approximate maximum likelihood estimator. It also outperforms the best moment-based estimator at small sample sizes.
  • Keywords
    approximation theory; estimation theory; maximum likelihood estimation; probability; MAP estimation; MAP probability; Ricean K factor; approximate maximum likelihood estimator; maximum a posterior probability; moment based estimator; Approximation methods; Computers; Fading; Log-normal distribution; Maximum likelihood estimation; Wireless communication; $K$ factor; Estimation; fading channels; maximum a posterior (MAP);
  • fLanguage
    English
  • Journal_Title
    Electrical and Computer Engineering, Canadian Journal of
  • Publisher
    ieee
  • ISSN
    0840-8688
  • Type

    jour

  • DOI
    10.1109/CJECE.2015.2404036
  • Filename
    7116664
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=87384