Experimental Verification of a Stochastic Topology Approach for High-Power Microwave Effects

Li, Xin; Meng, Cui; Liu, Yinong; Schamiloglu, E.; Hemmady, Sameer

doi:10.1109/temc.2014.2384482

Cited by 20 publications

(15 citation statements)

References 5 publications

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“…The Random Coupling Model (RCM) determines the statistical properties of the impedance and scattering parameters for complex enclosures [38][39][40][41][42][43][44]. In contrast to the other above mentioned methods, the RCM generates both mean-field and statistical predictions, treats interference and utilizes a minimum of information, namely, the system coupling details and the enclosure loss parameter [45][46][47][48][49]. It was recently demonstrated that two single RCM enclosures with a specific scaling relationship with regard to size, frequency and wall conductivity share the same normalized impedance statistics [50].…”

Section: Introductionmentioning

confidence: 99%

Wave scattering properties of multiple weakly coupled complex systems

Xiao

Drikas

et al. 2020

Phys. Rev. E

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The statistics of scattering of waves inside single ray-chaotic enclosures have been successfully described by the Random Coupling Model (RCM). We expand the RCM to systems consisting of multiple complex ray-chaotic enclosures with variable coupling scenarios. The statistical properties of the model-generated quantities are tested against measured data of electrically large multi-cavity systems of various designs. The statistics of model-generated trans-impedance and induced voltages on a load impedance agree well with the experimental results. The RCM coupled chaotic enclosure model is general and can be applied to other physical systems including coupled quantum dots, disordered nanowires, and short-wavelength electromagnetic propagation through rooms in buildings, aircraft and ships. arXiv:1909.03827v1 [physics.class-ph]

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Section: Introductionmentioning

confidence: 99%

Wave scattering properties of multiple weakly coupled complex systems

Xiao

Drikas

et al. 2020

Phys. Rev. E

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“…The RCM accounts for the system-specific features such as the coupling between ports and the enclosure, and the universal underlying fluctuations described by random matrix theory, which are conjectured to describe the chaotic behaviour of the wave chaotic system [22][23][24][25]. RCM can generate both mean-field and statistical predictions utilizing a minimum of information, namely the system coupling details and the enclosure loss parameter α [17,18,[26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Classification and Prediction of Wave Chaotic Systems with Machine Learning Techniques

Xiao

Hong

et al. 2019

Acta Phys. Pol. A

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The wave properties of complex scattering systems that are large compared to the wavelength, and show chaos in the classical limit, are extremely sensitive to system details. A solution to the wave equation for a specific configuration can change substantially under small perturbations. Due to this extreme sensitivity, it is difficult to discern basic information about a complex system simply from scattering data as a function of energy or frequency, at least by eye. In this work, we employ supervised machine learning algorithms to reveal and classify hidden information about the complex scattering system presented in the data. As an example we are able to distinguish the total number of connected cavities in a linear chain of weakly coupled lossy enclosures from measured reflection data. A predictive machine learning algorithm for the future states of a perturbed complex scattering system is also trained with a recurrent neural network. Given a finite training data series, the reflection/transmission properties can be forecast by the proposed algorithm. arXiv:1908.04716v1 [cond-mat.dis-nn]

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“…This division will possibly affect the integral electromagnetic shielding effect of the total cavity and then cause the function failure and even destruction of the electronics inside the cavity due to the interference from external or internal electromagnetic wave. Under this real background, the research of electromagnetic coupling effect of a complex multiple shielding cavity structure should be the research hotpot at present [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…One is certainty analysis method for a ruled cavity with a fixed internal field pattern [2,3], and the other is statistical analysis method for complex cavities [4][5][6]. At present, the analysis of electromagnetic coupling effect of a ruled cavity is in the majority.…”

Section: Introductionmentioning

confidence: 99%

“…Ref. [6] puts forward random topology method which combines RCM and BLT and chooses two computer boxes connected by a coaxial cable as experimental model to verify the applicability of this new method in analyzing system-level electromagnetic coupling effect. But there are still some limitations in the research of the mentioned literatures.…”

Section: Introductionmentioning

confidence: 99%

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Application of the Random Coupling Model to Electromagnetic Coupling Effect Analysis of Complex Double Cavity

Fan¹,

Pan²,

Hao³

et al. 2017

PIER Letters

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Abstract-For the difficulty of calculating and measuring coupling electromagnetic quantity of complex multi-cavities, a microwave chaotic double cavity model is designed, and a new method is put forward to analyze the coupling effect of the double cavities. The new method combines Random Coupling Model (RCM) and network cascade theory and can successfully predict the Probability Density Function (PDF) of the induced voltage at target point of the double cavity compared with other methods. Experiment is added to verify the effectiveness of the new method in this paper. In addition, the new method provides a new approach to analyze and predict the coupling electromagnetic quantity of the complex double cavities in practical engineering.

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Experimental Verification of a Stochastic Topology Approach for High-Power Microwave Effects

Cited by 20 publications

References 5 publications

Wave scattering properties of multiple weakly coupled complex systems

Wave scattering properties of multiple weakly coupled complex systems

Classification and Prediction of Wave Chaotic Systems with Machine Learning Techniques

Application of the Random Coupling Model to Electromagnetic Coupling Effect Analysis of Complex Double Cavity

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