Classification of the atmospheric formations by using bicoherence-based features extracted from weather radar backscattering signals

V. V. Naumenko, A. V. Totsky, G. I. Khlopov, O. A. Voitovich, J. T. Astola

    Research output: Contribution to journalArticleScientificpeer-review

    1 Citation (Scopus)

    Abstract

    In this paper, a novel bispectrum-based strategy applied to weather radar backscattering signal processing is suggested for solving the problems of detection, recognition and classification the dangerous and non-dangerous atmospheric formations related to the aviation needs. Recent classification features evaluated in the form of bicoherence estimates of the weather radar signals backscattered by volume-distributed atmospheric formations are suggested for solving the discrimination problem of the safe laminar meteorological formations and zones of turbulence dangerous for the aircraft flights. Results of experimental measurements performed by non-coherent double-frequency weather radar operating in millimeter and centimeter wavelength ranges are represented and discussed. Results of experimental examination demonstrate the benefits provided by exploiting of the bicoherence-based classification features as compared with common classification features evaluated in the form of spectral density width for solving the problem of discrimination the laminar and turbulent atmospheric formations.

    Original languageEnglish
    Pages (from-to)463-475
    Number of pages13
    JournalTelecommunications and Radio Engineering
    Volume75
    Issue number5
    DOIs
    Publication statusPublished - 2016
    Publication typeA1 Journal article-refereed

    Keywords

    • Area of dangerous atmospheric turbulence
    • Atmospheric remote sensing
    • Bicoherence estimate
    • Bispectrum
    • Laminar and turbulent meteorological formations
    • Radar backscattering signal
    • Weather radar

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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