An application of Kalman filtering to airborne wind measurement

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DOIResolve DOI: http://doi.org/10.1175/1520-0426(1991)008<0051:AAOKFT>2.0.CO;2
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TypeArticle
Journal titleJournal of Atmospheric and Oceanic Technology
Volume8
Issue1
Pages5165; # of pages: 15
AbstractAirborne wind measurement techniques currently being used onboard the National Aeronautical Establishment (NAE) Twin Otter Atmospheric Research Aircraft are described and their fundamental limitations are discussed. In particular, a recently acquired LTN-90-100 strapdown Inertial Reference System (IRS) exhibits significant low frequency errors in its velocity components (primarily Schuler oscillation errors that can attain peak values of 2 to 3 m s−1), actually degrading wind computation accuracy compared with older techniques. A new wind measurement technique, based on a Kalman filter integrated navigation approach, is shown to mitigate this problem and provide wind computation accuracy superior to previous methods. Preliminary results, based on applying the Kalman filter to Twin Otter flight test data, indicate that inertial velocity accuracies of 0.3 m s−1 rms (per axis) are attainable under ideal conditions, with a corresponding improvement in the accuracy of earth-referenced wind components.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada; NRC Institute for Aerospace Research
Peer reviewedNo
NRC numberFRL-1991-0012
NPARC number8930207
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Record identifiera2021501-132a-4ad1-9be5-1d62ed7c7376
Record created2009-04-23
Record modified2016-05-09
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