• DocumentCode
    1971917
  • Title

    Fast RCS Computation Using Method of Moments along with Characteristic Modes and General Asymptotic Waveform Evaluation

  • Author

    Wang, You-Bao ; Bo, Ya-Ming ; De Ben

  • Author_Institution
    Lab. of Wireless Commun. & EMC, Nanjing Univ. of Posts & Telecommun., Nanjing
  • fYear
    2007
  • fDate
    11-14 Dec. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The technique to integrate the characteristic modes (CM) with the general asymptotic waveform evaluation (GAWE) is proposed for computing the radar cross section (RCS) of an arbitrarily shaped perfect electric conductor (PEC). In the analysis, a few CMs with smaller eigenvalue 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 is determined by GAWE at a given frequency. In addition, the criterion of the spectral radius is found in order that the subspace can be adaptively constructed. The comparison of the two kinds of methods of asymptotic waveform evaluation (AWE) is also given. Finally, the RCS for different PEC objects are computed. The numerical results prove that the novel technique with CM and GAWE (CMGAWE) is effective in widening the extrapolation range.
  • Keywords
    eigenvalues and eigenfunctions; matrix algebra; method of moments; radar cross-sections; asymptotic waveform evaluation; eigenvalue; matrix equation; method of moment; perfect electric conductor; radar cross section; Eigenvalues and eigenfunctions; Electromagnetic analysis; Electromagnetic scattering; Equations; Frequency domain analysis; Laboratories; Microwave theory and techniques; Moment methods; Telecommunication computing; Wireless communication; AWE; Characteristic Mode; RCS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference, 2007. APMC 2007. Asia-Pacific
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-0748-4
  • Electronic_ISBN
    978-1-4244-0749-1
  • Type

    conf

  • DOI
    10.1109/APMC.2007.4554596
  • Filename
    4554596