Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis

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

doi:10.1109/AP-S/USNC-URSI47032.2022.9886699

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
Pages	1142-1143
Number of pages	2
ISBN (Electronic)	9781665496582
DOIs	https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886699
State	Published - 2022
Event	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States Duration: Jul 10 2022 → Jul 15 2022

Publication series

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

Conference

Conference	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
Country/Territory	United States
City	Denver
Period	7/10/22 → 7/15/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/AP-S/USNC-URSI47032.2022.9886699

Cite this

Gedney, S. D., Hendijiani, N., Young, J. C., & Adams, R. J. (2022). Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis. In 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings (pp. 1142-1143). (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings). https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886699

Gedney, Stephen D. ; Hendijiani, Nastaran ; Young, John C. et al. / Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. 2022. pp. 1142-1143 (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings).

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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.",

author = "Gedney, {Stephen D.} and Nastaran Hendijiani and Young, {John C.} and Adams, {Robert J.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 ; Conference date: 10-07-2022 Through 15-07-2022",

year = "2022",

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Gedney, SD, Hendijiani, N, Young, JC & Adams, RJ 2022, Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis. in 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings, pp. 1142-1143, 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022, Denver, United States, 7/10/22. https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886699

Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis. / Gedney, Stephen D.; Hendijiani, Nastaran; Young, John C. et al.
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. 2022. p. 1142-1143 (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Gedney SD, Hendijiani N, Young JC , Adams RJ. Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis. In 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. 2022. p. 1142-1143. (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings). doi: 10.1109/AP-S/USNC-URSI47032.2022.9886699

Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis

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