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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 M. Antonsen, Zhen Peng

2023IEEE Transactions on Electromagnetic Compatibility18 citationsDOI

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.

Topics & Concepts

Statistical physicsChaoticRandom matrixPhysicsWave functionProbability density functionStatistical modelStochastic processComputer scienceMathematicsQuantum mechanicsArtificial intelligenceStatisticsEigenvalues and eigenvectorsElectromagnetic Compatibility and MeasurementsGeophysical Methods and ApplicationsMicrowave Imaging and Scattering Analysis