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Telecommunications and Radio Engineering
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v75.i5.70
pages 463-475

CLASSIFICATION OF THE ATMOSPHERIC FORMATIONS BY USING BICOHERENCE−BASED FEATURES EXTRACTED FROM WEATHER RADAR BACKSCATTERING SIGNALS

V. V. Naumenko
National Aerospace University (Kharkiv Aviation Institute), 17, Chkalov St., Kharkiv, 61070, Ukraine
A. V. Totsky
National Aerospace University (Kharkiv Aviation Institute), 17, Chkalov St., Kharkiv, 61070, Ukraine
G. I. Khlopov
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkiv 61085, Ukraine
O. A. Voitovych
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkiv 61085, Ukraine
J. T. Astola
Tampere University of Technology, Signal Processing Laboratory, P. O. Box 553, FIN-33101, Tampere, Finland

RESUMO

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.


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