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

O. Nedjah, A.M. Hussein, S. Krishnan, K. Rahimeefar, R. Sotudeh

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

    5 Citations (Scopus)
    67 Downloads (Pure)

    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
    Original languageEnglish
    Title of host publicationCanadian Conference on Electrical and Computer Engineering (CCECE 2008)
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages001373-001378
    ISBN (Print)978-1-4244-1642-4
    DOIs
    Publication statusPublished - 2008

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