• DocumentCode
    1288859
  • Title

    Numerical Analysis of Scattering by Dielectric Random Rough Surfaces Using Modified SMCG Scheme and Curvilinear RWG Basis Functions

  • Author

    Huang, S.W. ; Zhang, G.H. ; Xia, M.Y. ; Chan, C.H.

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
  • Volume
    57
  • Issue
    10
  • fYear
    2009
  • Firstpage
    3392
  • Lastpage
    3397
  • Abstract
    An augmented sparse-matrix canonical-grid (SMCG) approach for numerical analysis of scattering by dielectric random rough surfaces is developed. It is an extension of the previous modified SMCG scheme for perfect-electric-conducting (PEC) surfaces to dielectric cases, and is enhanced by adopting curved triangulation modeling. By using the curved modeling with curvilinear Rao-Wilton-Glisson basis functions (CRWG bases), the number of unknowns can be reduced substantially to extract results of the same accuracy, compared with using the planar triangular discretization with planar RWG bases. Numerical results for Gaussian and ocean-like dielectric rough surfaces are provided to confirm the validity and efficacy of the proposed method.
  • Keywords
    Gaussian processes; conducting bodies; dielectric bodies; electromagnetic wave scattering; rough surfaces; sparse matrices; Gaussian surface; PEC surface; SMCG scheme; augmented sparse-matrix canonical-grid approach; curved triangulation modeling; curvilinear RWG basis function; curvilinear Rao-Wilton-Glisson basis function; dielectric random rough surface; electromagnetic wave scattering; numerical analysis; perfect-electric-conducting surface; planar RWG bases; planar triangular discretization; Chebyshev approximation; Concurrent computing; Dielectrics; Electromagnetic scattering; Flexible printed circuits; Numerical analysis; Rough surfaces; Sea surface; Surface roughness; Taylor series; Transmission line matrix methods; Dielectric rough surface scattering; curvilinear Rao–Wilton–Glisson (CRWG) basis functions; modified sparse-matrix canonical-grid (SMCG) method;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2009.2029374
  • Filename
    5196749