• DocumentCode
    742806
  • Title

    On the Stationarity of Signal Scattering by Two-Dimensional Slightly Rough Random Surfaces

  • Author

    Dusseaux, Richard ; Afifi, Saddek ; de Oliveira, R.

  • Author_Institution
    Lab. Atmospheres, Univ. de Versailles-St.-Quentin en Yvelines, Guyancourt, France
  • Volume
    61
  • Issue
    11
  • fYear
    2013
  • Firstpage
    5828
  • Lastpage
    5832
  • Abstract
    We present statistical properties of signal scattering by two-dimensional slightly rough random surface. The work concerns the intermediate-field zone. Calculations are carried out within the framework of the first-order small perturbation method. The surface is assumed to be ergodic and stationary and the height distribution to be Gaussian. Under an oblique incidence, we demonstrate that the first-order scattered field is not wide-sense stationary. For a given altitude, under the normal incidence, the scattered field is a strictly stationary random process. By using the stationary phase method, we show that the scattered field becomes asymptotically a strictly stationary random process when increasing the altitude of the observation point. We also define the condition that must be satisfied by an antenna transfer function so that the measured scattered field becomes stationary and ergodic.
  • Keywords
    electromagnetic wave scattering; statistical analysis; transfer functions; antenna transfer function; first-order scattered field; first-order small perturbation method; height distribution; intermediate-field zone; oblique incidence; observation point; signal scattering; stationary phase method; statistical properties; strictly stationary random process; two-dimensional slightly rough random surfaces; Antenna measurements; Random processes; Rough surfaces; Surface roughness; Surface treatment; Surface waves; Vectors; Rough surfaces; scattered field; small perturbation method; stationarity;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2013.2276887
  • Filename
    6576181