• DocumentCode
    1206008
  • Title

    Optimality of the cell averaging CFAR detector

  • Author

    Gandhi, P.P. ; Kassam, S.A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
  • Volume
    40
  • Issue
    4
  • fYear
    1994
  • fDate
    7/1/1994 12:00:00 AM
  • Firstpage
    1226
  • Lastpage
    1228
  • Abstract
    The cell averaging constant false alarm rate detector has been assumed to be optimal for detecting Swerling I targets embedded in exponential clutter and noise of unknown power. This is because the detector uses a minimum variance unbiased estimate (which is also a maximum likelihood estimate) of the unknown clutter-plus-noise power to set the threshold. The authors prove, using a result concerning least favorable distributions in composite hypotheses testing, that the cell averaging detector is indeed optimal in that it is a uniformly most powerful detector
  • Keywords
    maximum likelihood estimation; optimisation; parameter estimation; receivers; signal detection; testing; Swerling I targets; cell averaging CFAR detector; composite hypotheses testing; constant false alarm rate detector; exponential clutter; least favorable distributions; maximum likelihood estimate; minimum variance unbiased estimate; noise; Detectors; Probability density function; Signal to noise ratio; Statistical distributions; Testing;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.335950
  • Filename
    335950