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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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