• DocumentCode
    2066977
  • Title

    Land backscattering model for millimeter wave radar

  • Author

    Kulemin, G.P. ; Goroshko, E.A. ; Tarnavsky, E.V.

  • Author_Institution
    Inst. for Radiophys. & Electron., Nat. Acad. of Sci. of Ukraine, Kharkov, Ukraine
  • fYear
    2004
  • fDate
    28-28 Feb. 2004
  • Firstpage
    138
  • Lastpage
    141
  • Abstract
    The main computation relations for determination of MMW radar land clutter statistical characteristics are analyzed. Expressions for normalized RCS determination of different surface types and polarization features of backscattering signals are discussed. Spatial and temporal statistical characteristics of the quadrature components and the amplitudes of scattered signals are analyzed. It is shown that the amplitude pdf is approximated by the Weibull´s law and the distribution of quadrature components is described by the compound Gaussian law. The spatial distributions for different terrain types are presented. As a result, the algorithms for radar clutter modeling at millimeter band of radiowaves are obtained taking into consideration the spatial statistics of natural land surface.
  • Keywords
    Gaussian distribution; Weibull distribution; backscatter; radar clutter; spatiotemporal phenomena; MMW radar land clutter statistical characteristics; Weibull distribution; backscattering signals; compound Gaussian law; computation relation; land backscattering model; millimeter wave radar; natural land surface; polarization features; quadrature components; radar clutter modeling; radiowave; scattered signal amplitude; spatial distributions; spatial statistical characteristics; temporal statistical characteristics; Backscatter; Frequency; Land surface; Millimeter wave radar; Radar clutter; Radar cross section; Radar scattering; Rough surfaces; Surface roughness; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2004. Proceedings of the International Conference
  • Conference_Location
    Lviv-Slavsko, Ukraine
  • Print_ISBN
    966-553-380-0
  • Type

    conf

  • Filename
    1365897