Title :
Hydrometeor type and turbulence intensity recognition with Doppler-polarimetric radar
Author :
Yanovsky, Felix ; Ostrovsky, Yaroslav ; Marchuk, Vitaly
Author_Institution :
Nat. Aviation Univ., Kiev
Abstract :
This paper presents some new results on Doppler-polarimetric radar application to recognition both hydrometeor type and turbulence intensity level. The results are obtained by using the integrated approach proposed earlier and application of fuzzy logic - neural network recognition technique. Measurable variables are described. Based on physical considerations, calculations, and modelling, the parameterization for different situations is done and fuzzy logic procedures are developed and applied to real data processing. Finally, fuzzy logic recognition results are used for neural network procedure training.
Keywords :
Doppler radar; electrical engineering computing; fuzzy logic; fuzzy neural nets; hydrometers; radar polarimetry; Doppler-polarimetric radar; fuzzy logic recognition; neural network recognition technique; turbulence intensity recognition; Atmospheric measurements; Atmospheric modeling; Data processing; Fuzzy logic; Meteorology; Neural networks; Phase measurement; Polarization; Radar applications; Reflectivity;
Conference_Titel :
Radar Conference, 2008. EuRAD 2008. European
Conference_Location :
Amsterdam
Print_ISBN :
978-2-87487-009-5