• DocumentCode
    2538385
  • Title

    DOA estimation and parameter separation of broad-band stochastic electromagnetic waves

  • Author

    Russer, Johannes A. ; Scarpa, Giuseppe ; Lugli, Paolo ; Russer, Peter

  • Author_Institution
    Electr. Eng. & Inf. Technol. Dept., Tech. Univ. Munchen, Munich, Germany
  • Volume
    2
  • fYear
    2012
  • fDate
    21-23 May 2012
  • Firstpage
    451
  • Lastpage
    454
  • Abstract
    Time-domain electromagnetic interference (EMI) measurement systems sample the broad-band EMI signal with GHz sampling rates and compute the EMI spectrum by digital signal processing. By suppressing ambient noise using methods based on adaptive filtering algorithms, measurements of electromagnetic interference of a device under test can be performed at a test site polluted with electromagnetic ambient noise. In this work we describe the application of a wideband time-domain direction of arrival (DOA) estimation method for separating the waves incident from various direction and by this way filtering ambient noise from the noise of the device under test.
  • Keywords
    adaptive filters; broadband networks; direction-of-arrival estimation; electromagnetic interference; electromagnetic waves; DOA estimation; adaptive filtering algorithms; ambient noise; broadband stochastic electromagnetic waves; device under test; digital signal processing; direction-of-arrival estimation; parameter separation; time-domain electromagnetic interference; Correlation; Delay; Electromagnetic interference; Noise; Pollution measurement; Sensors; Time domain analysis; Direction of arrival detection; Electromagnetic interference; Electromagnetic waves with Gaussian Spectrum; Stochastic electromagnetic waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Radar and Wireless Communications (MIKON), 2012 19th International Conference on
  • Conference_Location
    Warsaw
  • Print_ISBN
    978-1-4577-1435-1
  • Type

    conf

  • DOI
    10.1109/MIKON.2012.6233577
  • Filename
    6233577