Statistics of the Reradiated Spectrum from Multiple Nonlinear Devices in a Reverberation Chamber

TY - JOUR

T1 - Statistics of the Reradiated Spectrum from Multiple Nonlinear Devices in a Reverberation Chamber

AU - Marvin, Andy

AU - Dawson, John Frederick

AU - Flintoft, Ian David

AU - Chen, Jiaqi

PY - 2013/2

Y1 - 2013/2

N2 - The statistical distributions of the re-radiated spectrum from an ensemble of non-linear devices subjected to radio-frequency interference measured in a reverberation chamber are investigated. This phenomenon can be used to probe the interaction between threatening radio-frequency energy and digital hardware. Previously, a statistical model was developed to explain the statistics of the measured spectrum from a single non-linear element. Here, the model is extended to the more realistic situation with multiple re-radiating sources. It is observed in the measurement results that two parameters, the power level of the interference and the spatial distribution of the re-radiating sources, have effects on the statistical distribution. It is shown that the Monte Carlo simulations based on the statistical models can properly reconstruct the measured statistical distributions. Understanding the signature of the onset of hard non-linearity in the observed spectrum may lead to the development of an immunity diagnostic tool that does not depend on monitoring the functional behaviour of the equipment-under-test.

AB - The statistical distributions of the re-radiated spectrum from an ensemble of non-linear devices subjected to radio-frequency interference measured in a reverberation chamber are investigated. This phenomenon can be used to probe the interaction between threatening radio-frequency energy and digital hardware. Previously, a statistical model was developed to explain the statistics of the measured spectrum from a single non-linear element. Here, the model is extended to the more realistic situation with multiple re-radiating sources. It is observed in the measurement results that two parameters, the power level of the interference and the spatial distribution of the re-radiating sources, have effects on the statistical distribution. It is shown that the Monte Carlo simulations based on the statistical models can properly reconstruct the measured statistical distributions. Understanding the signature of the onset of hard non-linearity in the observed spectrum may lead to the development of an immunity diagnostic tool that does not depend on monitoring the functional behaviour of the equipment-under-test.

KW - Clocks , Correlation , Couplings , Frequency measurement , Receiving antennas , Reverberation chamber , Transmitting antennas

UR - http://www.scopus.com/inward/record.url?scp=84864551266&partnerID=8YFLogxK

U2 - 10.1109/TEMC.2012.2205388

DO - 10.1109/TEMC.2012.2205388

M3 - Article

SN - 0018-9375

VL - 55

SP - 28

EP - 34

JO - IEEE Transactions on Electromagnetic Compatibility

JF - IEEE Transactions on Electromagnetic Compatibility

IS - 1

ER -