A Fast and High Order Algorithm for the Electromagnetic Scattering of Axis-Symmetric Objects

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Axis-symmetric objects are an important class of shapes that appear in many electromagnetic applications. By using the separation of variables, we are able to derive a fast and high order numerical algorithm that solves the 3D electromagnetic scattering for an arbitrary axis-symmetric object. The main novelty here is to combine the fast recursion formula for the kernel evaluation along the revolution curve and high order generalized Gaussian quadrature for the singular integrals in integral equations. Numerical experiments show that for a modest sized cylinder, we can easily obtain more than 6 digits accuracy in less than 90 seconds on a personal laptop.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538612415
DOIs
StatePublished - Oct 17 2018
Event2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018 - Chengdu, China
Duration: Mar 26 2018Mar 28 2018

Publication series

Name2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018

Other

Other2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018
CountryChina
CityChengdu
Period3/26/183/28/18

Keywords

  • Electromagnetic scattering
  • Fourier decomposition
  • axis-symmetric shape
  • fast algorithm
  • generalized Gaussian quadrature
  • integral equations

ASJC Scopus subject areas

  • Radiation
  • Electrical and Electronic Engineering
  • Computational Mathematics

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  • Cite this

    Lai, J., & O'Neil, M. (2018). A Fast and High Order Algorithm for the Electromagnetic Scattering of Axis-Symmetric Objects. In 2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018 [8496457] (2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COMPEM.2018.8496457