• DocumentCode
    1848101
  • Title

    A study of scattering from an object below a rough surface

  • Author

    Johnson, J.T. ; Burkholder, R.J.

  • Author_Institution
    ElectroScience Lab., Ohio State Univ., Columbus, OH, USA
  • Volume
    3
  • fYear
    2003
  • fDate
    22-27 June 2003
  • Firstpage
    416
  • Abstract
    The prediction of scattering from an object located beneath a rough interface is a subject of recent interest, particularly due to applications in the detection of sub-surface objects with radar systems. In this paper, a numerical study of scattering from a three dimensional penetrable object located below a lossy dielectric rough interface is performed A generalized example problem is considered to provide an illustration of some of the coherent and incoherent scattering effects which can occur, and to investigate the performance of some simple approximations for these quantities. A Monte Carlo simulation is used to obtain scattered field statistics as a function of frequency from 2.2 to 5 GHz, and results are illustrated in both the frequency and time domains to clarify the scattering physics.
  • Keywords
    Gaussian processes; Monte Carlo methods; electromagnetic wave scattering; radar cross-sections; rough surfaces; 2.2 to 5 GHz; Gaussian random process; Monte Carlo simulation; coherent scattering effects; heuristic scale factor; incoherent scattering effects; lossy dielectric interface; radar cross sections; rough interface; scattered field statistics; scattering prediction; subsurface objects; three dimensional penetrable object; Dielectric losses; Frequency; Object detection; Performance loss; Radar applications; Radar detection; Radar scattering; Rough surfaces; Statistics; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2003. IEEE
  • Conference_Location
    Columbus, OH, USA
  • Print_ISBN
    0-7803-7846-6
  • Type

    conf

  • DOI
    10.1109/APS.2003.1219875
  • Filename
    1219875