Title :
Analysis of meteorological radar signals using LSS-decomposition
Author :
Semenova, O.S. ; Yanovsky, F.J.
Author_Institution :
Nat. Aviation Univ., Kyiv, Ukraine
fDate :
Oct. 31 2012-Nov. 2 2012
Abstract :
In this paper new approach for weather radar signal analysis and dangerous meteorological zones detection is introduced. It is based on time-frequency LSS decomposition (least square spline) that is rather stable to noise and requires less input data. In order to provide reliable information about the object location and its intensity, the confidence intervals calculation is fulfilled.
Keywords :
least squares approximations; meteorological radar; radar signal processing; splines (mathematics); confidence intervals calculation; dangerous meteorological zones detection; least square spline; meteorological radar signals analysis; object location; time-frequency LSS decomposition; weather radar signal analysis; Doppler effect; Doppler radar; Estimation; Meteorological radar; Meteorology; Splines (mathematics); LSS-decomposition; confidence intervals; least squares method; polarization; turbulence detection;
Conference_Titel :
Radar Conference (EuRAD), 2012 9th European
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4673-2471-7
