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

Producción científica: Conference contribution › revisión exhaustiva

Resumen

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.

Idioma original	English
Título de la publicación alojada	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
Páginas	1142-1143
Número de páginas	2
ISBN (versión digital)	9781665496582
DOI	https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886699
Estado	Published - 2022
Evento	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States Duración: jul 10 2022 → jul 15 2022

Serie de la publicación

Nombre	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
País/Territorio	United States
Ciudad	Denver
Período	7/10/22 → 7/15/22

Nota bibliográfica

Publisher Copyright:
© 2022 IEEE.

Financiación

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.

Financiadores	Número del financiador
Office of Naval Research	N00014-19-1-2729
University of Kentucky
University of Colorado Hospital Denver	N00014-16-1-3066

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

Acceder al documento

10.1109/AP-S/USNC-URSI47032.2022.9886699

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Gedney, S. D., Hendijiani, N., Young, J. C., & Adams, R. J. (2022). Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis. En 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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title = "Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis",

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",

doi = "10.1109/AP-S/USNC-URSI47032.2022.9886699",

language = "English",

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

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Gedney, SD, Hendijiani, N, Young, JC & Adams, RJ 2022, Optimizing DCIM for Layered Green Functions for Quasi-Electrostatic Analysis. En 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).

Producción científica: Conference contribution › revisión exhaustiva

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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. En 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

Resumen

Serie de la publicación

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Nota bibliográfica

Financiación

ASJC Scopus subject areas

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