Analysis of cyclostationary stochastic electromagnetic fields

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

Abstract

Second order CS stochastic processes are non-stationary stochastic processes, where the TDCM depends on the global time and the time difference, and the dependence on the global time is periodic. This autocorrelation function can be represented by a 2D cyclic correlation spectrum containing delta functions at frequencies multiple to the cycle frequency of the stochastic process. Accordingly a CS stochastic EM field can be represented in frequency domain by a cyclic correlation dyadic. containing corresponding delta functions. The experimental characterization of the CS stochastic process shows the presence of spikes at frequencies multiple to the cycle frequency coinciding with the signal transmission rate on 1000BASE-T Gigabit Ethernet twisted-pair cable.

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Electromagnetics in Advanced Applications, ICEAA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1452-1455
Number of pages4
ISBN (Electronic)9781479978069
DOIs
StatePublished - 12 Oct 2015
Event17th International Conference on Electromagnetics in Advanced Applications, ICEAA 2015 - Torino, Italy
Duration: 7 Sep 201511 Sep 2015

Publication series

NameProceedings of the 2015 International Conference on Electromagnetics in Advanced Applications, ICEAA 2015

Conference

Conference17th International Conference on Electromagnetics in Advanced Applications, ICEAA 2015
Country/TerritoryItaly
CityTorino
Period7/09/1511/09/15

Keywords

  • Correlation
  • Current density
  • Electromagnetic interference
  • Electromagnetics
  • Noise
  • Random processes
  • Stochastic processes

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