Measurement of the coupling to shielded cables above a ground plane in a reverberation chamber

Magdowski, Mathias; Banjade, Buddhi Ram; Vick, Ralf

doi:10.1109/emceurope.2016.7739281

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…By applying the interface conditions, i.e., tangential continuities of EM fields across the dielectric boundary, and Galerkin testing method [39], the surface IE in ( 43), ( 44), (45), and ( 46) can be represented in a matrix equation as…”

Section: E Analysis Of Cavity Dielectric Loadingmentioning

confidence: 99%

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Statistical Analysis of Cavity Quality Factor Due to Localized Losses With the Stochastic Green's Function Method

Lin,

Luo,

Shao

et al. 2024

IEEE Trans. Electromagn. Compat.

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The statistical characterization of the cavity quality factor (Q-factor) holds significant practical importance, especially in the context of large and complex metallic enclosures. While there are existing methods for analyzing Q-factor statistics attributed to distributed and uniform losses, there is a noticeable gap in addressing the statistical cavity Q-factor arising from localized losses, such as aperture leakage, wall coating, and absorptive loading. This article introduces a physics-oriented, hybrid deterministic-stochastic approach to predict the statistical distribution of cavity Q-factor due to localized losses. The key ingredient of this method is the stochastic Green's function integral equation formulation, grounded in a statistical description of the cavity eigenmodes within an enclosed electromagnetic environment. The computational model is evaluated through both numerical and laboratory experiments, validating its reliability and applicability in real-world scenarios.

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Section: E Analysis Of Cavity Dielectric Loadingmentioning

confidence: 99%

“…To avoid measurements at multiple locations to calculate cavity energy density, we utilize the ensemble average over the stirrer states. The frequencydependent Q-factor is obtained by [45], [46]…”

Section: Validation Of Cavity Q-factor For Aperture Leakagementioning

confidence: 99%

Statistical Analysis of Cavity Quality Factor Due to Localized Losses With the Stochastic Green's Function Method

Lin,

Luo,

Shao

et al. 2024

IEEE Trans. Electromagn. Compat.

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“…The stirrer is rotated 100 positions over To avoid measurements at multiple locations to calculate cavity energy density, we utilize the ensemble average over the stirrer states. The frequency-dependent Q-factor is obtained by [13,14]:…”

Section: Experimental Validationmentioning

confidence: 99%

Statistical Characterization of Cavity Quality Factor due to Aperture Leakage

Lin

2023

Proceedings of the XXXVth URSI General Assembly and Scientific Symposium – GASS 2023

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There has been a strong interest in statistically characterizing the cavity quality factor (Q-factor) for large, complex enclosures. While there are existing methods for analyzing the Q-factor statistics due to distributed losses, there is currently little discussion about the statistical cavity Qfactor caused by localized losses, such as aperture leakage and absorptive loading. This paper presents a physicsoriented, hybrid deterministic-stochastic model that calculates the probability distribution of cavity Q-factor. The research work is evaluated and validated through representative experiments.

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On the Vectorial Property of Stochastic Dyadic Green's Function in Complex Electronic Enclosures

Lin

Shao

Peng

2022

2022 IEEE International Symposium on Electromagnetic Compatibility &Amp; Signal/Power Integrity (EMCSI)

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Measurement of the coupling to shielded cables above a ground plane in a reverberation chamber

Cited by 6 publications

References 7 publications

Statistical Analysis of Cavity Quality Factor Due to Localized Losses With the Stochastic Green's Function Method

Statistical Analysis of Cavity Quality Factor Due to Localized Losses With the Stochastic Green's Function Method

Statistical Characterization of Cavity Quality Factor due to Aperture Leakage

On the Vectorial Property of Stochastic Dyadic Green's Function in Complex Electronic Enclosures

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