• DocumentCode
    3197033
  • Title

    High resolution radar clutter classification

  • Author

    Anastassopoulos, Vassilis ; Lampropoulos, George A.

  • Author_Institution
    A.U.G. Signals Ltd., Toronto, Ont., Canada
  • fYear
    1995
  • fDate
    8-11 May 1995
  • Firstpage
    662
  • Lastpage
    667
  • Abstract
    Classification of high resolution radar echoes is carried out using the generalized compound probability density function (GC-pdf). The system noise, usually referred to as thermal noise, is incorporated in the model. The classification procedure comprises the estimation of the parameters of the GC-pdf. The classification vector is properly formed to indicate special cases of the GC-pdf and to choose existing CFAR detectors
  • Keywords
    parameter estimation; pattern classification; radar clutter; radar signal processing; random noise; thermal noise; CFAR detectors; classification procedure; classification vector; generalized compound probability density function; high resolution radar clutter classification; radar echoes; system noise; thermal noise; Clutter; Electromagnetic scattering; Energy resolution; Parameter estimation; Probability density function; Radar scattering; Rayleigh scattering; Signal resolution; Speckle; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 1995., Record of the IEEE 1995 International
  • Conference_Location
    Alexandria, VA
  • Print_ISBN
    0-7803-2121-9
  • Type

    conf

  • DOI
    10.1109/RADAR.1995.522628
  • Filename
    522628