Parametric reconstruction of stochastic EMI sources based on two-point planar near-field scanning

IEEE Electromagn. Compat. Mag.

et al. 2020

Coupling and Emissions Under Cyclostationary Conditions For convenience, engineers often make the assumption that the statistical behaviour of signals remains constant in time (timeinvariant). However, as the complexity of modern systems increases and the simultaneous presence of several clocked sources of EMI, this assumption is not always valid. Cyclostationary signals have hidden periodicities in the way they transport electromagnetic energy. Cyclostationarity was first studied in connection with mechanical signals. Studying them in connection with EMC is used in identifying patterns of emission from specific areas of PCBs and therefore can assist in taking appropriate remedial actions. The paper by Kuznetsov et al presents an analysis of electrical signals through a process of statistical cyclic averaging to characterize the emission properties for EMC analysis and design. Experimental results are also presented in support of the theoretical analysis. In future issues of the EMC Magazine we will cover topics such as the Electrical Behavior of CFCs, Stochastic EMC Applications, and Lightning Characterization.

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Section: Characterization Of Crosstalk Between Transmission Linesmentioning

confidence: 99%

Cyclostationary Characterization of Radiated Emissions in Digital Electronic Devices

Kuznetsov

IEEE Electromagn. Compat. Mag.

et al. 2020

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“…Another approach assumes the localization of stochastic EMI sources in the object plane of the device under test [4,6] (see Fig. 4) with subsequent calculation of the far field distribution with better accuracy in the whole space angle [7].…”

Section: Non-parametric Estimation Of Stochastic Emimentioning

confidence: 99%

“…The distributed multi-dipole model of the EMI source consists of the linked together electric dipoles characterized by dipole moments for some predefined frequency of the harmonic current flowing through the transmission line [6] as presented in Fig. 5.…”

Section: Parametric Identification Of Stochastic Emi Sourcesmentioning

confidence: 99%

Localization of cyclostationary EMI sources based on near-field measurements

Gorbunova

2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)

et al. 2015

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The near-field measurements of the stochastic fields radiating by digital electronic devices can be used for the localization of the stochastic electromagnetic interference (EMI) sources on the surface of device under test. The characterization of the space distribution for the wide sense cyclostationary (WSCS) stochastic field in the observation plane can be accomplished by a cross correlation between the reference and all remaining knots. The proposed Tikhonov regularization algorithm in conjunction with L-curve method provides a stable inverse reconstruction of the multi-dipole model distribution in the object plane. Parametric identification procedure based on the model order selection and two-dimensional Matrix Pencil Algorithm with subsequent fitting by Minimum Least Square technique gives the geometrical configuration of the WSCS sources. Implemented simulations and measurement experiments verified the choice of the proposed signal processing EMI sources localization algorithm.

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Autocorrelation Analysis and Near-Field Localization of the Radiating Sources With Cyclostationary Properties

Kuznetsov

IEEE Trans. Electromagn. Compat.

et al. 2020