Antenna De-Embedding in FDTD Using Spherical Wave Functions by Exploiting Orthogonality

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Original languageEnglish
Title of host publication2022 16th European Conference on Antennas and Propagation (EuCAP)
PublisherIEEE Computer Society
ISBN (electronic)978-88-31299-04-6
ISBN (print)978-1-6654-1604-7
Publication statusPublished - 2022
Event16th European Conference on Antennas and Propagation, EuCAP 2022 - Madrid, Spain
Duration: 27 Mar 20221 Apr 2022
Conference number: 16

Abstract

De-embedding antennas from the channel using Spherical Wave Functions (SWF) is a useful method to reduce the numerical effort in the simulation of wearable antennas.In this paper an analytical solution to the De-embedding problem is presented in form of surface integrals. This new integral solution is helpful on a theoretical level to derive insights and is also well suited for implementation in Finite Difference Time Domain (FDTD) numerical software. The spherical wave function coefficients are calculated directly from near-field values. Furthermore, the presence of a near-field scatterer in the deembedding problem is discussed on a theoretical level based on the Huygens Equivalence Theorem. This makes it possible to exploit the degrees of freedom in such a way that it is sufficient to only use out-going spherical wave functions and still obtain correct results.

Keywords

    Antenna De-embedding, FDTD method, Field Decomposition, Orthogonality, Spherical Wave Functions

ASJC Scopus subject areas

Cite this

Antenna De-Embedding in FDTD Using Spherical Wave Functions by Exploiting Orthogonality. / Mörlein, Leonardo; Berkelmann, Lukas; Manteuffel, Dirk.
2022 16th European Conference on Antennas and Propagation (EuCAP). IEEE Computer Society, 2022.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Mörlein, L, Berkelmann, L & Manteuffel, D 2022, Antenna De-Embedding in FDTD Using Spherical Wave Functions by Exploiting Orthogonality. in 2022 16th European Conference on Antennas and Propagation (EuCAP). IEEE Computer Society, 16th European Conference on Antennas and Propagation, EuCAP 2022, Madrid, Spain, 27 Mar 2022. https://doi.org/10.48550/arXiv.2111.02087, https://doi.org/10.23919/EuCAP53622.2022.9769333
Mörlein, L., Berkelmann, L., & Manteuffel, D. (2022). Antenna De-Embedding in FDTD Using Spherical Wave Functions by Exploiting Orthogonality. In 2022 16th European Conference on Antennas and Propagation (EuCAP) IEEE Computer Society. https://doi.org/10.48550/arXiv.2111.02087, https://doi.org/10.23919/EuCAP53622.2022.9769333
Mörlein L, Berkelmann L, Manteuffel D. Antenna De-Embedding in FDTD Using Spherical Wave Functions by Exploiting Orthogonality. In 2022 16th European Conference on Antennas and Propagation (EuCAP). IEEE Computer Society. 2022 doi: 10.48550/arXiv.2111.02087, 10.23919/EuCAP53622.2022.9769333
Mörlein, Leonardo ; Berkelmann, Lukas ; Manteuffel, Dirk. / Antenna De-Embedding in FDTD Using Spherical Wave Functions by Exploiting Orthogonality. 2022 16th European Conference on Antennas and Propagation (EuCAP). IEEE Computer Society, 2022.
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title = "Antenna De-Embedding in FDTD Using Spherical Wave Functions by Exploiting Orthogonality",
abstract = "De-embedding antennas from the channel using Spherical Wave Functions (SWF) is a useful method to reduce the numerical effort in the simulation of wearable antennas.In this paper an analytical solution to the De-embedding problem is presented in form of surface integrals. This new integral solution is helpful on a theoretical level to derive insights and is also well suited for implementation in Finite Difference Time Domain (FDTD) numerical software. The spherical wave function coefficients are calculated directly from near-field values. Furthermore, the presence of a near-field scatterer in the deembedding problem is discussed on a theoretical level based on the Huygens Equivalence Theorem. This makes it possible to exploit the degrees of freedom in such a way that it is sufficient to only use out-going spherical wave functions and still obtain correct results.",
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AU - Manteuffel, Dirk

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