Implementation of a Gabor Transform Data Quality-Control Algorithm for UHF Wind Profiling Radars

In this paper a Gabor transform–based algorithm is applied to identify and eliminate intermittent signal contamination in UHF wind profiling radars, such as that produced by migrating birds. The algorithm is applied in the time domain, and so it can be used to improve the accuracy of UHF radar wind...

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Bibliographic Details
Published inJournal of atmospheric and oceanic technology Vol. 30; no. 12; pp. 2697 - 2703
Main Authors Bianco, Laura, Gottas, Daniel, Wilczak, James M.
Format Journal Article
LanguageEnglish
Published Boston American Meteorological Society 01.12.2013
Subjects
Air traffic control
Algorithms
Altitude
Antennas
Birds
Contamination
Control algorithms
Control theory
Datasets
Gabor transformation
Marine
Pattern recognition
Profilers
Profiling
Radar
Radar data
Radar wind
Real time
Time series
Transforms
UHF
Velocity
Weather
Weather forecasting
Wind
Wind profiles
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ISSN0739-0572
1520-0426
DOI10.1175/JTECH-D-13-00089.1

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Summary:In this paper a Gabor transform–based algorithm is applied to identify and eliminate intermittent signal contamination in UHF wind profiling radars, such as that produced by migrating birds. The algorithm is applied in the time domain, and so it can be used to improve the accuracy of UHF radar wind profiler data in real time—an essential requirement if these wind profiler data are to be assimilated into operational weather forecast models. The added value of using a moment-level Weber–Wuertz pattern recognition scheme that follows the Gabor transform processing is demonstrated.
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ISSN:0739-0572
1520-0426
DOI:10.1175/JTECH-D-13-00089.1