Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis

Stephen D. Gedney, Nastaran Hendijiani, John C. Young, Robert J. Adams

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

Abstract

A method for optimizing the DCIM approximation for the spatial domain layered Green function for low-frequency quasi-electrostatic analysis is presented. The method is based on a novel decomposition of the spectral Green function. The proper DCIM parameters of these terms are found by optimizing the Matrix Pencil method solution for the discrete residues and poles. The method has been found to provide at least six digits of accuracy for layered medium with highly disparate layer thickness and material constants.

Original languageEnglish
Title of host publication2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
Pages1142-1143
Number of pages2
ISBN (Electronic)9781665496582
DOIs
StatePublished - 2022
Event2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States
Duration: Jul 10 2022Jul 15 2022

Publication series

Name2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

Conference

Conference2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
Country/TerritoryUnited States
CityDenver
Period7/10/227/15/22

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work has been funded by ONR Grant N00014-19-1-2729 with the University of Colorado and ONR Grant N00014-16-1-3066 with the University of Kentucky.

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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