• DocumentCode
    1524310
  • Title

    Improved numerical simulation of electromagnetic wave scattering from perfectly conducting random surfaces

  • Author

    Oh, Y. ; Sarabandi, K.

  • Author_Institution
    Dept. of Radio Sci. & Eng., Hong Ik Univ., Seoul, South Korea
  • Volume
    144
  • Issue
    4
  • fYear
    1997
  • fDate
    8/1/1997 12:00:00 AM
  • Firstpage
    256
  • Lastpage
    260
  • Abstract
    A Monte Carlo simulation of electromagnetic scattering from one-dimensional perfectly conducting random surfaces is considered. Surface profiles of desired statistics are generated numerically using a standard procedure and the scattering solution for the surface samples of finite length is calculated using the method of moments. A new technique is used to reduce the effect of the edges of the finite surface samples. In this technique, the conductivities of the surface near edges are controlled by adding an appropriate tapered resistive sheet. It is shown that the accuracy at large angles of incidence, θ>50°, and the computation efficiency are improved significantly using this method, when compared to the standard tapered illumination method. Results based on this numerical approach are compared with those based on the small perturbation and physical optics approximations in their respective regions of validity
  • Keywords
    Monte Carlo methods; digital simulation; electrical conductivity; electromagnetic wave scattering; method of moments; 1D perfectly conducting random surfaces; Monte Carlo simulation; accuracy; computation efficiency; electromagnetic wave scattering; finite surface samples; method of moments; numerical simulation; physical optics approximations; scattering solution; small perturbation; surface conductivities; surface profiles; tapered illumination method; tapered resistive sheet;
  • fLanguage
    English
  • Journal_Title
    Microwaves, Antennas and Propagation, IEE Proceedings
  • Publisher
    iet
  • ISSN
    1350-2417
  • Type

    jour

  • DOI
    10.1049/ip-map:19971189
  • Filename
    620469