• DocumentCode
    453311
  • Title

    Multifrontal method preconditioned sparse-matrix/canonical grid algorithm for fast analysis of microstrip structure

  • Author

    Zhuang, W. ; Feng, X.P. ; Mo, L. ; Chen, R.S.

  • Author_Institution
    Dept. of Commun. Eng., Nanjing Univ. of Sci. & Technol., China
  • Volume
    4
  • fYear
    2005
  • fDate
    4-7 Dec. 2005
  • Abstract
    In this paper, the microstrip structure is analyzed in terms of the mixed potential integral equation (MPIE) by using of the Rao-Wilton-Glisson (RWG) function expansion. The integral equation is solved by the sparse-matrix/canonical grid (SMCG) method with fast Fourier transforms technique (FFT) to accelerate the matrix-vector multiplication. During the iterative process, multifrontal method is employed to precondition the matrix equations for the purpose of enhancing the computational efficiency of the conjugate-gradient (CG) algorithm. The numerical calculations show that the proposed preconditioned SMCG algorithm can converge more than 30 times faster than the conventional one for the analysis of microstrip structures.
  • Keywords
    antenna theory; conjugate gradient methods; fast Fourier transforms; integral equations; microstrip antenna arrays; planar antenna arrays; sparse matrices; Rao-Wilton-Glisson function expansion; canonical grid algorithm; conjugate-gradient algorithm; fast Fourier transforms; iterative process; matrix preconditioning; matrix-vector multiplication; microstrip structures; mixed potential integral equation; multifrontal method; preconditioned sparse-matrix; Acceleration; Algorithm design and analysis; Character generation; Computational efficiency; Fast Fourier transforms; Integral equations; Iterative algorithms; Iterative methods; Microstrip; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference Proceedings, 2005. APMC 2005. Asia-Pacific Conference Proceedings
  • Print_ISBN
    0-7803-9433-X
  • Type

    conf

  • DOI
    10.1109/APMC.2005.1606759
  • Filename
    1606759