An interpolated spatial images method for the analysis of multilayered shielded microwave circuits

Juan Sebastian Gomez Diaz, M. Martínez-Mendoza, F. J. Pérez-Soler, A. Álvarez-Melcón

Research output: Contribution to journalArticlepeer-review


In this article, an efficient interpolation method is pre sented to compute the Green's function associated with electrical sources, when they are placed inside cylindrical cavities. The interpola tion scheme is formulated in the frame of the spatial images technique recently developed. The original idea was to calculate, for every loca tion of a point electric source, the complex values of the electric dipole and charge images, placed outside the cavity, to impose the appropriate boundary conditions for the potentials. To considerably reduce the com putational cost of the original technique, a simple interpolation method is proposed to obtain the complex values of the images for any source location. To do that, a rectangular spatial subdivision inside the cavity is proposed. Each new subregion is controlled by means of the exact image values obtained when the source is placed at the four corners of the region. The key idea is to use a bilinear interpolation to obtain the image complex values when the source is located anywhere inside this subregion. The interpolated images provide the Green's functions of the new source positions fast, and with high accuracy. This new approach can be directly applied to analyze printed planar filters. Two examples with CPU time comparisons are provided, showing the high accuracy and computational gain achieved with the technique just derived.

Original languageEnglish (US)
Pages (from-to)2294-2300
Number of pages7
JournalMicrowave and Optical Technology Letters
Issue number9
StatePublished - Sep 1 2008
Externally publishedYes


  • Green's functions
  • Interpolation methods
  • Method of moments
  • Multilayered circuits

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


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