• DocumentCode
    2051520
  • Title

    Stochastic EMI sources localization algorithm based on time domain planar near-field scanning

  • Author

    Gorbunova, Anastasia ; Baev, Andrey ; Konovalyuk, Maxim ; Kuznetsov, Yury ; Russer, Johannes A.

  • Author_Institution
    Theor. Radio Eng. Dept., Moscow Aviation Inst. (Nat. Res. Univ.), Moscow, Russia
  • fYear
    2013
  • fDate
    2-6 Sept. 2013
  • Firstpage
    972
  • Lastpage
    976
  • Abstract
    Localization algorithm for stochastic EMI sources based on time domain planar near-field scanning of tangential electromagnetic field components emitted by a complex radiated structure is presented. The main theory aspects of the field reconstruction in the object plane as well as the main limitations for scanning parameters are also discussed for the proposed localization procedure. The autocorrelation and cross-correlation functions obtained by using the two-point planar scanning system are used for the characterization of stochastic field distribution. An example of point sources localization both in frequency and spatial domain is presented based on the modeling and measurement results.
  • Keywords
    correlation methods; electromagnetic interference; stochastic processes; time-domain analysis; autocorrelation functions; cross-correlation functions; electromagnetic interference; field reconstruction; scanning parameters; stochastic EMI sources localization algorithm; stochastic field distribution; tangential electromagnetic field components; time domain planar near-field scanning; two-point planar scanning system; Correlation; Electromagnetic compatibility; Electromagnetic interference; Frequency-domain analysis; Stochastic processes; Time-domain analysis; Huygens-Fresnel principle; cross-correlation spectrum; near-field scanning system; parametric identification; stochastic EMI sourse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility (EMC EUROPE), 2013 International Symposium on
  • Conference_Location
    Brugge
  • ISSN
    2325-0356
  • Type

    conf

  • Filename
    6653442