DocumentCode
127754
Title
Parametric reconstruction of stochastic EMI sources based on two-point planar near-field scanning
Author
Gorbunova, Anastasia ; Baev, Andrey ; Konovalyuk, Maxim ; Kuznetsov, Yury
Author_Institution
Theor. Radio Eng. Dept., Nat. Res. Univ., Moscow, Russia
fYear
2014
fDate
1-4 Sept. 2014
Firstpage
102
Lastpage
107
Abstract
In this paper a 2D stochastic EMI sources identification algorithm based on two-point time-domain scanning of electromagnetic near-field tangential components is presented. The radiating structure is considered as a set of simple electrical dipoles arranged on a grid in object plane. The autocorrelation and cross-correlation spectra are used for the characterization of stochastic field distribution. These characteristics are used to determine the distribution of dipole moments and to estimate the parameters of the real radiation sources. Typical cases of mutual uncorrelated sources and fully correlated sources are discussed as well as the modeling results. The experimental data was processed with proposed parametric identification procedure for a spatial localization of equivalent dipoles and effective sources inside the structure.
Keywords
dipole antennas; electromagnetic interference; 2D stochastic EMI sources identification algorithm; autocorrelation spectra; cross-correlation spectra; dipole moments; electromagnetic near-field tangential components; parametric reconstruction; real radiation sources; two-point planar near-field scanning; two-point time-domain scanning; Correlation; Electromagnetic compatibility; Electromagnetic interference; Magnetic field measurement; Stochastic processes; Time-domain analysis; Vectors; correlated sources; correlation spectra; distributed source; electrical dipole; equivalent dipole model; parametric identification; stochastic field; two-point scanning;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Compatibility (EMC Europe), 2014 International Symposium on
Conference_Location
Gothenburg
Type
conf
DOI
10.1109/EMCEurope.2014.6930885
Filename
6930885
Link To Document