Abstract
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.
Original language | English (US) |
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Pages (from-to) | 844-858 |
Number of pages | 15 |
Journal | IEEE Transactions on Electromagnetic Compatibility |
Volume | 66 |
Issue number | 3 |
DOIs | |
State | Published - Jun 1 2024 |
Keywords
- Chaos
- Green function
- mode-stirred reverberation chambers (MSRCs)
- quality factor (Q-factor)
- statistical analysis
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Condensed Matter Physics
- Electrical and Electronic Engineering