An Improved Dipole-Moment Model Based on Near-Field Scanning for Characterizing Near-Field Coupling and Far-Field Radiation From an IC

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.

Section: Introductionmentioning

confidence: 99%

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

Gradoni

Arnaut

Creagh

et al. 2018

“…Several methods have been proposed to characterise radiated emissions through near-field scanning (NFS) of deterministic fields [1], [2], [3], [4], [5]. Near-field measurements require less space, have better signal-to-noise ratios and are simpler than far-field measurements [5].…”

Section: Introductionmentioning

confidence: 99%

Near-Field Scanning and Propagation of Correlated Low-Frequency Radiated Emissions

Gradoni

Ramapriya

Creagh

et al. 2018

Abstract-Electromagnetic radiation from complex printed circuit boards can occur over a broad frequency bandwidth, ranging from hundreds of MHz to tens of GHz. This is becoming a critical issue for assessment of EMC and interoperability as electronic components become more and more integrated. We use emissions from an enclosure with a single-slot aperture and equipped with operating electronics to exemplify and model such sources. Spatial correlation functions obtained from two-probe measurements are used both to characterise the source and to propagate the emissions. We examine emissions in the submicrowave frequency range, where evanescent decay dominates the measured correlation function at the distances measured. We find that an approximate, diffusion-like propagator describes the measured emissions well. A phase-space approach based on Wigner functions is exploited to develop this approximation and to provide enhanced understanding of the emissions.

“…For this purpose, the least-square method has been used for the optimization of the fitness function. The same optimization method has been used in [4], but with a more adapted approach for printed circuits and where they have used an improved dipole model moment using the regularization technique. The obtained results with both methods were conclusive.…”

Section: Introductionmentioning

confidence: 99%

“…Because of the magnetic cores and the vertical disposition of some semiconductor components (due to space and thermal constraints), the third dimension of the circuit topology is more pronounced. This makes the electromagnetic field distribution in the near field region more complex than in [3] and [4], where the circuits are considered planar. Thus, the inverse problem becomes more complex to solve because of the high nonlinearity of the fitness function.…”

Section: Introductionmentioning

confidence: 99%

“…In [6], Zhao et al have used a restarted stochastic optimization method based on a differential evolution algorithm. This approach has been used for the same application as in [3] and [4], while in [7] and [8], Regué et al have used a GA, which is a global stochastic optimization method able to reach the global minimum of the fitness function without being trapped by the first local minimum.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Detection of Electromagnetic Radiations Sources at the Switching Time Scale Using an Inverse Problem-Based Resolution Method—Application to Power Electronic Circuits

Beghou

Costa

Pichon

2015

This paper presents a detailed study about the characterization of electromagnetic near-fields emitted from power electronic circuits. The approach proposed here provides a radiation model, which verifies the uniqueness of the solution using an inverse problem-based resolution method. For this purpose, the characterization method has been combined with an experimental mapping realized at the switching time scale. This mapping is based on a Fourier analysis applied on the measurements acquired from the device under study. It allowed us to trace a prior radiations map over the device under study. This radiation map is then exploited in order to validate the uniqueness of the final result, a result that has been obtained by solving the inverse problem using a genetic algorithm (GA) to optimize the highly nonlinear fitness function. The precision and the accuracy of the method have been validated by the superposition of the obtained radiation models over the circuit topology. The correlation between the sources parameters (position, orientation, geometrical parameters and currents) and the parameters corresponding to the components located at the regions defined by the radiation map has been successfully performed. This allowed us to confirm that the physical reality is respected, and to assume that we have reached the uniqueness of the solution.