• DocumentCode
    2706724
  • Title

    A fast efficient technique for solving monotonic RCS using the SVD method

  • Author

    Gu, Jing-Jing ; Gu, Chang-Qing

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2009
  • fDate
    27-29 Oct. 2009
  • Firstpage
    896
  • Lastpage
    899
  • Abstract
    In this paper, we apply multi-layer singular value decomposition (SVD) technology to the traditional characteristic basis function method (CBFM), then construct a series angle and polarization independent orthonormal characteristic basis functions (CBFs). By different linear combination of these orthonormal basic functions, we can get the surface current distributing of PEC object of any direction illuminating waves, and then we can obtain monotonic RCS. This article also combines physics optics (PO) method and dynamic storage binary tree technique, and it can reduce memory requirements and CPU-time. Numerical results show the correctness and effectiveness of this method.
  • Keywords
    electromagnetic wave polarisation; physical optics; radar cross-sections; singular value decomposition; CPU-time; PEC object; SVD method; characteristic basis function method; direction illuminating waves; dynamic storage binary tree; memory requirement; monotonic RCS; multilayer singular value decomposition; physics optics; polarization independent orthonormal characteristic basis function; radar cross section; series angle; Binary trees; Educational institutions; Equations; Matrix decomposition; Optical polarization; Optical surface waves; Physics; Space technology; Surface waves; Transmission line matrix methods; characteristic basic function; monotonic RCS component; physics optics(PO); single value decompostion(SVD);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009 3rd IEEE International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4076-4
  • Type

    conf

  • DOI
    10.1109/MAPE.2009.5355786
  • Filename
    5355786