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Algorithms for airborne Doppler radar wind shear detectionHoneywell has developed algorithms for the detection of wind shear/microburst using airborne Doppler radar. The Honeywell algorithms use three dimensional pattern recognition techniques and the selection of an associated scanning pattern forward of the aircraft. This 'volumetric scan' approach acquires reflectivity, velocity, and spectral width from a three dimensional volume as opposed to the conventional use of a two dimensional azimuthal slice of data at a fixed elevation. The algorithm approach is based on detection and classification of velocity patterns which are indicative of microburst phenomenon while minimizing the false alarms due to ground clutter return. Simulation studies of microburst phenomenon and x-band radar interaction with the microburst have been performed and results of that study are presented. Algorithm performance indetection of both 'wet' and 'dry' microbursts is presented.
Document ID
19930010417
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Gillberg, Jeff
(Honeywell, Inc. Minneapolis, MN, United States)
Pockrandt, Mitch
(Honeywell, Inc. Minneapolis, MN, United States)
Symosek, Peter
(Honeywell, Inc. Minneapolis, MN, United States)
Benser, Earl T.
(Honeywell, Inc. Minneapolis, MN, United States)
Date Acquired
September 6, 2013
Publication Date
September 1, 1992
Publication Information
Publication: NASA. Langley Research Center, Airborne Wind Shear Detection and Warning Systems: Fourth Combined Manufacturers' and Technologists' Conference, Part 1
Subject Category
Air Transportation And Safety
Accession Number
93N19606
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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