DocumentCode
482022
Title
Hydrometeor type and turbulence intensity recognition with Doppler-polarimetric radar
Author
Yanovsky, Felix ; Ostrovsky, Yaroslav ; Marchuk, Vitaly
Author_Institution
Nat. Aviation Univ., Kiev
fYear
2008
fDate
30-31 Oct. 2008
Firstpage
88
Lastpage
91
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2008. EuRAD 2008. European
Conference_Location
Amsterdam
Print_ISBN
978-2-87487-009-5
Type
conf
Filename
4760808
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