• DocumentCode
    1172319
  • Title

    Application of physical optics to the RCS computation of bodies modeled with NURBS surfaces

  • Author

    Pérez, J. ; Cátedra, M.F.

  • Author_Institution
    Dept. de Electron., Cantabria Univ., Santander, Spain
  • Volume
    42
  • Issue
    10
  • fYear
    1994
  • fDate
    10/1/1994 12:00:00 AM
  • Firstpage
    1404
  • Lastpage
    1411
  • Abstract
    The paper presents a method for the computation of the monostatic radar cross section (RCS) of electrically large conducting objects modeled by nonuniform rational B-spline (NURBS) surfaces using the physical optic (PO) technique. The NURBS surfaces are expanded in terms of rational Bezier patches by applying the Cox-De Boor transform algorithm. This transformation is justified because Bezier patches are numerically more stable than NURBS surfaces. The PO integral is evaluated over the parametric space of the Bezier surfaces using asymptotic integration. The scattering field contribution of each Bezier patch is expressed in terms of its geometric parameters. Excellent agreement with PO predictions is obtained. The method is quite efficient because it makes use of a small number of patches to model complex bodies, so it requires very little memory and computing time
  • Keywords
    electromagnetic wave scattering; physical optics; radar cross-sections; splines (mathematics); Cox-De Boor transform algorithm; NURBS surfaces; RCS computation; electrically large conducting objects; integral; monostatic radar cross section; nonuniform rational B-spline surfaces; parametric space; physical optics; rational Bezier patches; scattering field; Optical computing; Optical scattering; Physical optics; Physics computing; Radar cross section; Radar scattering; Scattering parameters; Spline; Surface reconstruction; Surface topography;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.320747
  • Filename
    320747