• DocumentCode
    2838744
  • Title

    CN Tower Lightning Current Derivative Heidler Model Analysis and Transmission

  • Author

    Nedjah, Ouarda ; Hussein, Ali M. ; Krishnan, Sridhar ; Sotudeh, Reza

  • Author_Institution
    Electr. & Comput. Eng. Dept., Ryerson Univ., Toronto, ON
  • fYear
    2008
  • fDate
    8-10 Sept. 2008
  • Firstpage
    268
  • Lastpage
    273
  • Abstract
    The lightning current data collected at the CN Tower can be used for calibrating the Lightning Detection Network (LDN) systems. They can also be used in the modification of existing models and the creation of new ones used for the conversion of the lightning current to electromagnetic and electric propagated fields. The measured lightning current derivative signals at the CN tower are noise-laden. They are first denoised. Then, related Heidler models that can be representative for the measured lightning currents discharged through the Tower are generated. The calculated models parameters are provided to the LDN systems to be used in the calibration of the systems. Due to the complexity of the lightning discharge process, Heidler models canpsilat be representative for all the lightning currents waveform. This paper will discuss Heidler model representation of the lightning current measured at the CN Tower and the related problems.
  • Keywords
    data analysis; electromagnetic wave propagation; geophysics computing; lightning; CN tower lightning current derivative; Heidler model analysis; Heidler model transmission; electric propagated fields; electromagnetic propagated fields; lightning detection network systems; Calibration; Current measurement; Electromagnetic fields; Electromagnetic measurements; Electromagnetic modeling; Electromagnetic propagation; Lightning; Noise measurement; Optical propagation; Poles and towers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation, 2008. EMS '08. Second UKSIM European Symposium on
  • Conference_Location
    Liverpool
  • Print_ISBN
    978-0-7695-3325-4
  • Electronic_ISBN
    978-0-7695-3325-4
  • Type

    conf

  • DOI
    10.1109/EMS.2008.102
  • Filename
    4625284