Characterisation of noisy electromagnetic fields from Circuits using the Correlation of equivalent sources

Thomas, D.W.P.; Obiekezie, C. S.; Greedy, Steve; Nothofer, A.; Sewell, P.

doi:10.1109/emceurope.2012.6396678

Cited by 17 publications

(9 citation statements)

References 7 publications

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“…A number of authors have studied the optimal choice of distance, spatial step, and width of the NFS plane. In particular, the distance and width of the scanning plane should be chosen so as to create a numerical aperture of 80 o [40], and the spatial resolution should be half of the distance from the source [41]. This can be seen by rearranging Eq.…”

Section: A Measurement Set-up and Parametersmentioning

confidence: 99%

Wigner-Function-Based Propagation of Stochastic Field Emissions From Planar Electromagnetic Sources

Gradoni

Arnaut

Creagh

et al. 2018

IEEE Trans. Electromagn. Compat.

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. Abstract-Modelling the electromagnetic radiation from modern digital systems -acting effectively as extended, stochastic sources as part of a complex architecture -is a challenging task. We follow an approach here based on measuring and propagating field-field autocorrelation functions (ACFs) after suitable averaging. From the modelling side, we use the Wigner transform of the ACFs to describe random wave fields in terms of position and direction of propagation variables. An approximate propagator for the components of the radiated magnetic field is constructed for these ACFs based on a linear flow map. Field-field ACFs at aperture level are obtained from scanning measurements of complex sources. Distance and spatial resolution of the scanning plane is less than a wavelength from the source plane to capture the imprint of evanescent waves in the nearfield ACFs. Near-field scanning and efficient near-to-far field propagation is carried out and compared with measurements. Results of this study will be useful to assist far-field predictions, source reconstruction, and emission source microscopy.

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Section: A Measurement Set-up and Parametersmentioning

confidence: 99%

Wigner-Function-Based Propagation of Stochastic Field Emissions From Planar Electromagnetic Sources

Gradoni

Arnaut

Creagh

et al. 2018

IEEE Trans. Electromagn. Compat.

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“…SOURCES Estimated spatial and time domain characteristics of the measured stochastic near field in the observation plane could be used for the prediction of the radiated EMI far field [1,4]. It can be done by direct transformation of the measured field into the far field pattern by applying the Plane Waves Spectrum (PWS) method [5].…”

Section: Non-parametric Estimation Of Stochastic Emimentioning

confidence: 99%

“…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%

Localization of cyclostationary EMI sources based on near-field measurements

Gorbunova

Baev

Konovalyuk

et al. 2015

2015 IEEE International Symposium on Electromagnetic Compatibility (EMC)

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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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“…Network methods for the efficient solution of stochastic electromagnetic field problems were introduced in [13]- [16]. A method for characterizing and modeling the noisy electromagnetic fields radiated from complex circuit boards using a simplified representation of correlated dipoles has been described in [21]. Depending on the number of statistically independent field sources, the eigenvalue decomposition of the correlation matrix yields a compact description of the measured EM noise field [22].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Noisy EM Field Propagation Using Correlation Information

Russer

2015

IEEE Trans. Microwave Theory Techn.

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In this paper, an efficient method for the numerical simulation of near-and far-field propagation of stochastic electromagnetic (EM) fields is presented. The method is based on the transformation of field correlation dyadics using Green's functions or the field transfer functions computed for deterministic fields. The method accounts for arbitrary correlations between the noise radiation sources and allows to compute the spatial distribution of the spectral energy density of noisy electromagnetic sources. The introduced methodology can be combined with available electromagnetic modeling tools. It is shown that the method of moments can be applied to solve noisy electromagnetic field problems by network methods applying correlation matrix techniques. Examples demonstrating the strong influence of the correlation between the sources on the spatial distribution of the radiated noise field are presented.Index Terms-Electromagnetic interference, near-field scanning, noisy electromagnetic fields, stochastic electromagnetic fields. 0018-9480

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Characterisation of noisy electromagnetic fields from Circuits using the Correlation of equivalent sources

Cited by 17 publications

References 7 publications

Wigner-Function-Based Propagation of Stochastic Field Emissions From Planar Electromagnetic Sources

Wigner-Function-Based Propagation of Stochastic Field Emissions From Planar Electromagnetic Sources

Localization of cyclostationary EMI sources based on near-field measurements

Modeling of Noisy EM Field Propagation Using Correlation Information

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