An efficient algorithm for analyzing large-scale microstrip structures using adaptive integral method combined with discrete complex-image method

Feng Ling, Chao Fu Wang, Jian Ming Jin

Research output: Contribution to journalArticlepeer-review

Abstract

An efficient algorithm combining the adaptive integral method and the discrete complex-image method (DCIM) is presented in this paper for analyzing large-scale microstrip structures. The arbitrarily shaped microstrips are discretized using triangular elements with Rao-Wilton-Glisson basis functions. These basis functions are then projected onto a rectangular grid, which enables the calculation of the resultant matrix-vector product using the fast Fourier transform. The method retains the advantages of the well-known conjugate-gradient fast-Fourier-transform method, as well as the excellent modeling capability offered by triangular elements. The resulting algorithm has the memory requirement proportional to O(JV) and the operation count for the matrix-vector multiplication proportional to O(N log JV), where N denotes the number of unknowns. The required spatial Green's functions are computed efficiently using the DCIM, which further speeds up the algorithm. Numerical results for some microstrip circuits and a microstrip antenna array are presented to demonstrate the efficiency and accuracy of this method.

Original languageEnglish (US)
Pages (from-to)832-839
Number of pages8
JournalIEEE Transactions on Microwave Theory and Techniques
Volume48
Issue number5
DOIs
StatePublished - May 2000

Keywords

  • Adaptive integral method
  • Fast fourier transform
  • Green's function
  • Method of moments
  • Microstrip

ASJC Scopus subject areas

  • Radiation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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