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Robust Kalman filter design for predictive wind shear detectionSevere, low-altitude wind shear is a threat to aviation safety. Airborne sensors under development measure the radial component of wind along a line directly in front of an aircraft. In this paper, optimal estimation theory is used to define a detection algorithm to warn of hazardous wind shear from these sensors. To achieve robustness, a wind shear detection algorithm must distinguish threatening wind shear from less hazardous gustiness, despite variations in wind shear structure. This paper presents statistical analysis methods to refine wind shear detection algorithm robustness. Computational methods predict the ability to warn of severe wind shear and avoid false warning. Comparative capability of the detection algorithm as a function of its design parameters is determined, identifying designs that provide robust detection of severe wind shear.
Document ID
19910065106
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Stratton, Alexander D.
(Princeton Univ. NJ, United States)
Stengel, Robert F.
(Princeton University NJ, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1991
Subject Category
Aircraft Instrumentation
Report/Patent Number
AIAA PAPER 91-2778
Meeting Information
Meeting: AIAA Guidance, Navigation and Control Conference
Location: New Orleans, LA
Country: United States
Start Date: August 12, 1991
End Date: August 14, 1991
Accession Number
91A49729
Funding Number(s)
CONTRACT_GRANT: NAG1-834
Distribution Limits
Public
Copyright
Other

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