• DocumentCode
    445088
  • Title

    Scattering of waves by rough surface based on a hybrid UV/SMCG method

  • Author

    Xu, Peng ; Tsang, Leung

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, China
  • Volume
    3A
  • fYear
    2005
  • fDate
    3-8 July 2005
  • Firstpage
    450
  • Abstract
    In simulations of 3D rough surface scattering, a fast algorithm developed to accelerate method of moments (MoM) solutions is the sparse-matrix canonical grid method (SMCG). We have also developed a multilevel UV method (Tsang, L. et al., Radio Sci., vol.39, no.5, 2004), in which fast coarse-coarse sampling is used to search the rank of each impedance block, and construct matrices U and V to compress each block based on an interpolation technique. We demonstrate a hybrid UV/SMCG technique in the 3D scattering problem of a Gaussian random rough surface with an exponential correlation function and with a Gaussian correlation function. It has been shown that surfaces with exponential correlation functions are applicable to land surfaces such as soil surfaces and the interface between snow and ground. The frequency dependencies of scattering using a single set of physical parameters are illustrated in the simulations. The numerical simulation results are compared with the small perturbation method (SPM) and the Kirchhoff approximation (KA).
  • Keywords
    electric impedance; electromagnetic wave scattering; interpolation; method of moments; rough surfaces; sparse matrices; 3D rough surface scattering; Gaussian random rough surface; Kirchhoff approximation; MoM; coarse-coarse sampling; electromagnetic wave scattering; impedance blocks; interpolation technique; method of moments; small perturbation method; sparse-matrix canonical grid method; Acceleration; Interpolation; Land surface; Moment methods; Rough surfaces; Sampling methods; Scattering; Surface impedance; Surface roughness; Surface waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2005 IEEE
  • Print_ISBN
    0-7803-8883-6
  • Type

    conf

  • DOI
    10.1109/APS.2005.1552283
  • Filename
    1552283