University of Hertfordshire

A Divide-and-Conquer approach for denoising and modeling the CN Tower lightning current derivative signal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

  • O. Nedjah
  • A.M. Hussein
  • S. Krishnan
  • K. Rahimeefar
  • R. Sotudeh
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Original languageEnglish
Title of host publicationCanadian Conference on Electrical and Computer Engineering (CCECE 2008)
PublisherIEEE
Pages001373-001378
ISBN (Print)978-1-4244-1642-4
DOIs
Publication statusPublished - 2008

Abstract

The CN Tower is a transmission hub and an
instrumented tower for the measurement of the lightning
return stroke current derivative. The recorded data are
corrupted by different kinds of noise, and need to be denoised
for accurate determination of the lightning return-stroke
current waveform parameters. A new Divide-and-Conquer
denoising approach that imitates the Basis Pursuit method and
the Newton-Raphson technique has been developed. This
paper describes the new process of denoising the recorded
signals. First, the current derivative is preprocessed to
eliminate the noise outside the lightning return-stroke active
region and reduce the presence of the high frequencies inside
the active region. Then, by marching on both the graphs of the
current derivative and its integral, the noise due to reflections
is localized and removed. By this process the SNR improved by
35 dB and the lightning current and current derivative
parameters are calculated automatically with a high precision.
Furthermore, using the calculated parameters the data is curve
fitted to Heidler function, which results in a model for the
measured lightning current derivative with an infinite SNR

Notes

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