DocumentCode
3334828
Title
Multivariate algorithms for dangerous turbulence detection in weather formations
Author
Ostrovsky, Yaroslav
Author_Institution
Nat. Aviation Univ., Kiev
fYear
2008
fDate
22-24 Sept. 2008
Firstpage
186
Lastpage
189
Abstract
This paper briefly describes methodologies of turbulence detection and classification. Proposed methods based on neural network approach. One method provides multivariate analysis of measured variables. Another one based on spectrum shape analysis. These methods are very flexible and allow reduction of calculation time and can be successfully implemented for warning purposes in airborne systems.
Keywords
atmospheric turbulence; meteorological radar; neural nets; radar signal processing; multivariate algorithms; neural network approach; spectrum shape analysis; turbulence classification; turbulence detection; weather formations; weather radar; Antenna measurements; Meteorological radar; Microstructure; Neural networks; Polarization; Radar applications; Radar measurements; Rain; Reflectivity; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwaves, Radar and Remote Sensing Symposium, 2008. MRRS 2008
Conference_Location
Kiev
Print_ISBN
978-1-4244-2688-1
Electronic_ISBN
978-1-4244-2689-8
Type
conf
DOI
10.1109/MRRS.2008.4669575
Filename
4669575
Link To Document