Localization of the equivalent sources on the PCB surface by using ultra-wideband time domain near-field measurements

Kuznetsov, Yu.V.; Baev, Andrey; Gorbunova, Anastasia; Konovalyuk, Maxim; Thomas, D.W.P.; Smartt, Christopher; Baharuddin, Mohd Hafiz; Russer, Johannes A.; Russer, P.

doi:10.1109/emceurope.2016.7739184

Cited by 24 publications

(11 citation statements)

References 9 publications

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“…Such methodology is conclusive, but it is a time consuming task. There are other methods for TD characterization, such as the stochastic approach studied in [11]. Generally, works based on TD analysis relies on the time recording of the data using a high-resolution oscilloscope.…”

Section: Introductionmentioning

confidence: 99%

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A full time domain methodology based on near field time reversal for equivalent source identification

Hedia

Zitouna

Slama

et al. 2018

2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Comp

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This paper deals with magnetic source characterization in time domain. The basic idea is to solve the inverse problem using the measured near field radiation cartography. In order to ensure the identification procedure, the Time Reversal (TR) technique is used. This procedure allows both the spatial and temporal focusing determination by forcing waves to virtually converge to their initial source. The originality of the proposed methodology is to present a full time domain study of a magnetic source reconstruction. Indeed, this approach is particularly suitable for structures that emit non-sinusoidal radiations such as power electronic systems. First, the Electromagnetic Time Reversal (EMTR) basis are introduced. Then a simulation case study is discussed. Finally, results from an experiment test are presented to verify the proposed methodology. The measured results are in good agreement with the calculated electromagnetic fields. The experimental validation shows that compared to other identification techniques, especially those developed in the frequency domain, the proposed approach is more efficient and simple.

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Section: Introductionmentioning

confidence: 99%

“…Generally, works based on TD analysis relies on the time recording of the data using a high-resolution oscilloscope. But, this information is usually treated using a spectral study [11].…”

Section: Introductionmentioning

confidence: 99%

A full time domain methodology based on near field time reversal for equivalent source identification

Hedia

Zitouna

Slama

et al. 2018

2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Comp

View full text Add to dashboard Cite

show abstract

“…As far as near-field wideband cases are concerned, the traditional way has been to split the array outputs into several narrowband components by passing them through a bank of narrowband filters and then combine the results of acquired estimates at multiple frequencies independently. Or alternatively, exploiting the focusing technique to obtain the source localisation information integrated into these bands by aligning the signal subspaces of the narrowband components [16][17][18][19]. There are two apparent inadequacies in these methods.…”

Section: Introductionmentioning

confidence: 99%

Near‐field wideband source localisation from the sparse recovery perspective via the spatial‐only modelling of array data

2018

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“…The approach of characterizing noisy EM fields by correlation information has been also extended to the transmission line matrix method in the time domain and to the transverse wave formulation . An approach to propagate the stochastic EM field based on Wigner functions is presented in Gradoni et al Near‐ to far‐field transformation and imaging using correlation information has been addressed in Fourestie et al and Russer and Russer, evolution of the correlation information of the propagating field in Russer et al, and methods for source localization in Baev et al and Kuznetsov et al Propagation of correlation information can also be modeled based on S ‐parameters . Measurement of noisy fields with multiple probes and modeling based on correlation information may facilitate an improved analysis for power and signal integrity issues …”

Section: Introductionmentioning

confidence: 99%

Principal component analysis for efficient characterization of stochastic electromagnetic fields

Haider

Russer

2017

Int J Numerical Modelling

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The propagation of stochastic electromagnetic fields can be accurately modeled using the auto-and cross-correlation spectra of the field components. In this work, we introduce the framework of principal component analysis for reducing the computational cost of handling stochastic electromagnetic fields described by correlation matrices. We consider noisy electromagnetic fields originating from stationary random processes with Gaussian probability distribution. The amount of data obtained by 2-dimensional near-field measurements and by determining the autoand cross-correlation information of electromagnetic interference can become burdensome for further processing even for problems of moderate size. For obtaining the correlation data, 2 measurement probes have to scan a defined grid of measurement points. For each pair of points, the spatial correlations need to be calculated, and hence, the data obtained scales quadratically with the number of sampling points.To reduce the amount of data, we project the given data obtained by measurement or simulation onto directions of maximum variation, the so called principal components, and keep only those principal components which contribute most to the total variance. In this way, the memory demand for storage and further computation of stochastic electromagnetic fields can be reduced significantly. KEYWORDS electromagnetic interference, noisy electromagnetic fields, principal component analysis, stochastic electromagnetic fields Int J Numer Model. 2018;31:e2246.wileyonlinelibrary.com/journal/jnm

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Localization of the equivalent sources on the PCB surface by using ultra-wideband time domain near-field measurements

Cited by 24 publications

References 9 publications

A full time domain methodology based on near field time reversal for equivalent source identification

A full time domain methodology based on near field time reversal for equivalent source identification

Near‐field wideband source localisation from the sparse recovery perspective via the spatial‐only modelling of array data

Principal component analysis for efficient characterization of stochastic electromagnetic fields

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