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

Shen Lin, Sangrui Luo, Yang Shao, Bisrat D. Addissie, Zachary B. Drikas, Gabriele Gradoni, Zhen Peng

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Pages (from-to)844-858
Number of pages15
JournalIEEE Transactions on Electromagnetic Compatibility
Volume66
Issue number3
DOIs
StatePublished - 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

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