Mixed discretization of CFIE in the framework of MLFMA

The conventional combined-field integral equation (CFIE)using a Galerkin scheme suffers from inaccuracy issues due to the incorrect testing of the identity operator in the magnetic-field integral equation (MFIE). In this contribution, a mixed discretization scheme is used for correct testing of MFIE...

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Main Authors: Güler, S., Yücel, Abdulkadir C., Bağci, H., Ergül, Ö
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/148663
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1486632021-10-18T08:18:53Z Mixed discretization of CFIE in the framework of MLFMA Güler, S. Yücel, Abdulkadir C. Bağci, H. Ergül, Ö School of Electrical and Electronic Engineering 2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama) Engineering::Electrical and electronic engineering Electromagnetics Integral Equations The conventional combined-field integral equation (CFIE)using a Galerkin scheme suffers from inaccuracy issues due to the incorrect testing of the identity operator in the magnetic-field integral equation (MFIE). In this contribution, a mixed discretization scheme is used for correct testing of MFIE in the context of CFIE. The projection of testing spaces of EFIE and MFIE onto each other is required while solving CFIE numerically with the mixed discretization scheme. For this purpose, computations of the Gram matrix inversions are required to perform the projection operations. Such an operation can easily become computationally expensive, especially when solving large-scale problems using accelerated algorithms, such as the multilevel fast multipole algorithm (MLFMA). In this work, matrix decomposition methods and iterative solvers are used to solve Gram systems while solving CFIE with the mixed discretization scheme in the framework of MLFMA. The accuracy and efficiency of the results are compared, in the context of large-scale problems. 2021-10-18T08:18:53Z 2021-10-18T08:18:53Z 2019 Conference Paper Güler, S., Yücel, A. C., Bağci, H. & Ergül, Ö. (2019). Mixed discretization of CFIE in the framework of MLFMA. 2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama), 1500-1505. https://dx.doi.org/10.23919/PIERS.2018.8597735 https://hdl.handle.net/10356/148663 10.23919/PIERS.2018.8597735 1500 1505 en © 2018 IEICE. All rights reserved. 6 p.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Electromagnetics
Integral Equations
spellingShingle Engineering::Electrical and electronic engineering
Electromagnetics
Integral Equations
Güler, S.
Yücel, Abdulkadir C.
Bağci, H.
Ergül, Ö
Mixed discretization of CFIE in the framework of MLFMA
description The conventional combined-field integral equation (CFIE)using a Galerkin scheme suffers from inaccuracy issues due to the incorrect testing of the identity operator in the magnetic-field integral equation (MFIE). In this contribution, a mixed discretization scheme is used for correct testing of MFIE in the context of CFIE. The projection of testing spaces of EFIE and MFIE onto each other is required while solving CFIE numerically with the mixed discretization scheme. For this purpose, computations of the Gram matrix inversions are required to perform the projection operations. Such an operation can easily become computationally expensive, especially when solving large-scale problems using accelerated algorithms, such as the multilevel fast multipole algorithm (MLFMA). In this work, matrix decomposition methods and iterative solvers are used to solve Gram systems while solving CFIE with the mixed discretization scheme in the framework of MLFMA. The accuracy and efficiency of the results are compared, in the context of large-scale problems.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Güler, S.
Yücel, Abdulkadir C.
Bağci, H.
Ergül, Ö
format Conference or Workshop Item
author Güler, S.
Yücel, Abdulkadir C.
Bağci, H.
Ergül, Ö
author_sort Güler, S.
title Mixed discretization of CFIE in the framework of MLFMA
title_short Mixed discretization of CFIE in the framework of MLFMA
title_full Mixed discretization of CFIE in the framework of MLFMA
title_fullStr Mixed discretization of CFIE in the framework of MLFMA
title_full_unstemmed Mixed discretization of CFIE in the framework of MLFMA
title_sort mixed discretization of cfie in the framework of mlfma
publishDate 2021
url https://hdl.handle.net/10356/148663
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