Deep Thinning of MoM Matrices with the Balanced Electromagnetic Absorber Method in 3 Dimensions

Raphael Kastner, Daniel S. Weile

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A three dimensional implementation of the recently introduced balanced electromagnetic absorber (BEMA) method is presented herein. In the BEMA, a balanced (Weston-type) absorber, characterized by both electric and magnetic loss mechanisms, is placed within the null field inside the equivalent surface currents replacing a perfectly conducting or homogeneous scatterer. The absorber, referred to as the filler, substantially reduces interactions between pairs of opposing basis/testing functions. The resultant moment matrix, formulated with the filler Green's function, is thinned accordingly. Moreover, most annulled elements need not be computed at all, thereby reducing substantially the matrix fill time. The lossy nature of the Green's function also serves to eliminate spurious internal resonances and thus makes the electric or magnetic field integral equation matrix well conditioned without resorting to a combined field integral equation.

Original languageEnglish
Title of host publicationProceedings of the 2018 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages292-295
Number of pages4
ISBN (Electronic)9781538667620
DOIs
StatePublished - 1 Nov 2018
Event20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018 - Cartagena de Indias, Colombia
Duration: 10 Sep 201814 Sep 2018

Publication series

NameProceedings of the 2018 20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018

Conference

Conference20th International Conference on Electromagnetics in Advanced Applications, ICEAA 2018
Country/TerritoryColombia
CityCartagena de Indias
Period10/09/1814/09/18

Keywords

  • Electric Field Integral Equation
  • Ill- and Well-Conditioning.
  • Method of Moments
  • Sparse Matrices

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