题名: |
Algorithms for airborne Doppler radar wind shear detection |
作者: |
Gillberg, Jeff; Pockrandt, Mitch; Symosek, Peter; Benser, Earl T. |
关键词: |
algorithm;doppler;detection;phenomenon;radar;thms;honeywell;dimension;velocity;ecognition |
摘要: |
Honeywell 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. |
报告类型: |
科技报告 |