Least square spline decomposition in time-frequency analysis of weather radar signals

K. I. Shelevytska; O. S. Semenova; I. V. Shelevytsky; F. J. Yanovsky

doi:10.1117/12.905198

7 October 2011 Least square spline decomposition in time-frequency analysis of weather radar signals

K. I. Shelevytska, O. S. Semenova, I. V. Shelevytsky, F. J. Yanovsky

Proceedings Volume 8008, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011; 80081T (2011) https://doi.org/10.1117/12.905198
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011, 2011, Wilga, Poland

Abstract

Meteorology plays an important role in aviation, as it enables to predict weather conditions and detect flight dangerous meteorological phenomena. Meteorological radar is used to detect the intensity and possible location of precipitation and dangerous zones in them. Doppler radar systems are able to measure the speed of scatteres that constitute meteorological formations and phenomena. The tasks of measurement accuracy increasing and reliability rise of hazardous meteorological phenomena detection become much more relevant after establishing new flight control system CNS ATM adopted by ICAO - the International Civil Aviation Organization.

Citation Download Citation

K. I. Shelevytska, O. S. Semenova, I. V. Shelevytsky, and F. J. Yanovsky "Least square spline decomposition in time-frequency analysis of weather radar signals", Proc. SPIE 8008, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011, 80081T (7 October 2011); https://doi.org/10.1117/12.905198

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