DocumentCode :
1766900
Title :
Parametric identification of stochastic EMI sources based on near-field measurements
Author :
Konovalyuk, Maxim ; Gorbunova, Anastasia ; Baev, Andrey ; Kuznetsov, Yury
Author_Institution :
Theor. Radio Eng. Dept., Nat. Res. Univ., Moscow, Russia
fYear :
2014
fDate :
6-9 Oct. 2014
Firstpage :
1087
Lastpage :
1090
Abstract :
In this paper a 2D stochastic EMI source identification algorithm based on time domain measurements of electromagnetic near-field tangential components is presented. The radiating structure is considered as a set of simple electrical dipoles arranged on grid in the 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 which is used to determine the parameters of the real radiation sources. The experimental data are processed with proposed parametric identification procedure for a spatial localization of equivalent dipoles and effective sources inside the structure.
Keywords :
electric moments; electromagnetic interference; electromagnetic waves; magnetic moments; parameter estimation; stochastic processes; 2D stochastic EMI source identification algorithm; autocorrelation spectra; cross-correlation spectra; dipole moments; electrical dipoles; electromagnetic near-field tangential components; near-field measurements; parametric identification procedure; radiation sources; stochastic field distribution; time domain measurements; Correlation; Electromagnetic interference; Equations; Magnetic field measurement; Stochastic processes; Time-domain analysis; Vectors; correlated sourcses; correlation spectra; distributed source; electrical dipole; equivalent dipole model; parametric identification; stochastic field;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Conference (EuMC), 2014 44th European
Conference_Location :
Rome
Type :
conf
DOI :
10.1109/EuMC.2014.6986628
Filename :
6986628
Link To Document :
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