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

Shen Lin, Yang Shao, Zhen Peng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a physics-oriented, mathematically tractable statistical wave model for analyzing the naturally occurring chaotic dynamics of high-frequency reverberation within complex cavity environments. The key ingredient is a vector dyadic stochastic Green's function method derived from Wigner's random matrix theory and Berry's random wave hypothesis. The stochastic Green's function statistically replicates the multipath, ray -chaotic interactions between ports of entry and ports of interference without involving the complex details within the target's enclosure. The work achieves a physics-based modeling and simulation capability that predicts the probabilistic behavior of backdoor coupling to complex electronic enclosures.

Original languageEnglish (US)
Title of host publication2022 IEEE International Symposium on Electromagnetic Compatibility and Signal/Power Integrity, EMCSI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages350-355
Number of pages6
ISBN (Electronic)9781665409292
DOIs
StatePublished - 2022
Event2022 IEEE International Symposium on Electromagnetic Compatibility and Signal/Power Integrity, EMCSI 2022 - Spokane, United States
Duration: Aug 1 2022Aug 5 2022

Publication series

Name2022 IEEE International Symposium on Electromagnetic Compatibility and Signal/Power Integrity, EMCSI 2022

Conference

Conference2022 IEEE International Symposium on Electromagnetic Compatibility and Signal/Power Integrity, EMCSI 2022
Country/TerritoryUnited States
CitySpokane
Period8/1/228/5/22

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality

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