• DocumentCode
    2635028
  • Title

    Fast calculation of wide-band RCS for three-dimensional PEC objects based on preconditioned AWE technique

  • Author

    Ke-Ming, Zhao ; Yu-Fa, Sun

  • Author_Institution
    Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
  • Volume
    2
  • fYear
    2010
  • fDate
    17-20 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The asymptotic waveform evaluation (AWE) technique combined with the method of moments (MOM) is often applied to accelerate the calculation of the wide-band radar cross section (RCS) of the target. However, the technique is still quite time-consuming for solving the inverse of impedance matrix when the objects are electrically large. In this paper, Krylov subspace iterative methods are applied to solve the matrix equation derived from electric field integral equation instead of matrix inverse. The dual threshold incomplete LU factorization preconditioner is adopted to improve the convergence behavior of the Krylov subspace iterative methods. The numerical computation shows that the results in this paper are in good agreement with the results obtained by the method of moments at each frequency, and the computational efficiency is improved greatly.
  • Keywords
    conductors (electric); impedance matrix; integral equations; iterative methods; matrix algebra; method of moments; 3D PEC objects; Krylov subspace iterative methods; asymptotic waveform evaluation technique; electric field integral equation; impedance matrix; matrix equation; matrix inverse; method of moments; perfect electric conductor; wide-band radar cross section; wide-band radar cross-sections; asymptotic waveform evaluation; incomplete LU preconditioning; method of moments; radar cross section;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals Systems and Electronics (ISSSE), 2010 International Symposium on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-6352-7
  • Type

    conf

  • DOI
    10.1109/ISSSE.2010.5606986
  • Filename
    5606986