Predicting Statistical Wave Physics in Complex Enclosures: A Stochastic Dyadic Green's Function Approach

Shen Lin, Sangrui Luo, Shukai Ma, Junda Feng, Yang Shao, Zachary B. Drikas, Bisrat D. Addissie, Steven M. Anlage, Thomas Antonsen, Zhen Peng

Research output: Contribution to journalArticlepeer-review

Abstract

This article presents a physics-oriented, mathematically tractable, statistical wave model for analyzing the wave physics of high-frequency reverberation in complex cavity environments. The key ingredient is a vector dyadic stochastic Green's function (SGF) method that is derived from the Wigner's random matrix theory and Berry's random wave hypothesis. The SGF statistically replicates multipath, ray-chaotic communication between vector sources and vectorial electromagnetic fields at displaced observation points using generic, macroscopic parameters of the cavity environment. The work establishes a physics-based modeling and simulation capability that predicts the probabilistic behavior of backdoor coupling to complex electronic enclosures. Experimental results are supplied to validate the proposed work.

Original languageEnglish (US)
Pages (from-to)436-453
Number of pages18
JournalIEEE Transactions on Electromagnetic Compatibility
Volume65
Issue number2
DOIs
StatePublished - Apr 1 2023
Externally publishedYes

Keywords

  • Chaos
  • Green function
  • electromagnetic coupling
  • intentional electromagnetic interference
  • statistical analysis

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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