• DocumentCode
    918913
  • Title

    Hybrid Technique of Fast RCS Computation With Characteristic Modes and AWE

  • Author

    Wang, You-Bao ; Bo, Y.M. ; Ji, G.Q. ; Ben, D. ; Jiang, G.X. ; Cao, W.

  • Author_Institution
    Nanjing Univ. of Posts and Telecommun., Nanjing
  • Volume
    6
  • fYear
    2007
  • fDate
    6/29/1905 12:00:00 AM
  • Firstpage
    464
  • Lastpage
    467
  • Abstract
    The technique to integrate the characteristic modes (CMs) with the asymptotic waveform evaluation (AWE) is proposed for computing the radar cross section (RCS) of an arbitrarily shaped three-dimensional perfect electric conductor (PEC). In the analysis, a few CMs with smaller eigenvalues are chosen to construct the subspace of the solution of a matrix equation. Hence, the solution of the equation can be obtained by combining the based-vectors of the subspace with a set of coefficients, which can be determined by the AWE technique at a given frequency. In addition, the criterion of the spectral radius is found in order that the subspace can be adaptively constructed. Finally, the results of numerical examples prove that the novel technique with CMs and AWE (CMAWE) is effective in widening the extrapolation range.
  • Keywords
    conductors (electric); matrix algebra; radar cross-sections; AWE; RCS computation; asymptotic waveform evaluation; characteristic modes; eigenvalues; matrix equation; radar cross section; three-dimensional perfect electric conductor; Collision mitigation; Conductors; Data mining; Educational programs; Eigenvalues and eigenfunctions; Equations; Extrapolation; Frequency domain analysis; Parameter estimation; Radar cross section; AWE; RCS; characteristic modes;
  • fLanguage
    English
  • Journal_Title
    Antennas and Wireless Propagation Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1225
  • Type

    jour

  • DOI
    10.1109/LAWP.2007.906293
  • Filename
    4339509