• DocumentCode
    2391570
  • Title

    The KA-MLFMA hybrid algorithm for analyzing the electromagnetic scattering from a 3-D target over random rough surface

  • Author

    Liu, Wei ; Zhao, Zhiqin ; Yang, Wei ; Nie, Zaiping

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2010
  • fDate
    6-8 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A hybrid algorithm combining the analytic Kirchhoff approximation (KA) and the numerical multilevel fast multipole algorithm (MLFMA) is proposed to calculate the electromagnetic scattering from a composite model of three-dimensional (3-D) perfect electric conducting (PEC) object over Gaussian random rough PEC surfaces. The KA and MLFMA are used to deal with calculations of the Gaussian rough surface and the object, respectively. Meanwhile, an iterative approach is employed to analyze the coupling interactions between the object and rough surfaces. From some numerical results, it can be illustrated that this hybrid algorithm can not only give the reliable results, but also greatly reduce the computational costs comparing with conventional numerical methods. The bi-static difference field radar cross-section (RCS) of a 3-D object above random rough surfaces is also discussed in this paper.
  • Keywords
    electromagnetic wave scattering; radar cross-sections; rough surfaces; Gaussian rough surface; Kirchhoff approximation; electromagnetic scattering; iterative approach; multilevel fast multipole algorithm; perfect electric conducting; radar cross section; Educational institutions; Memory management; Microwave theory and techniques; Rough surfaces; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-7369-4
  • Type

    conf

  • DOI
    10.1109/ISPACS.2010.5704764
  • Filename
    5704764