Online estimation of Allan variance parameters

Ford, Jason J. & Evans, Michael E. (2000) Online estimation of Allan variance parameters. Journal of Guidance, Control, and Dynamics, 23(6), pp. 980-987.

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A new online method is presented for estimation of the angular randomwalk and rate randomwalk coefficients of inertial measurement unit gyros and accelerometers. In the online method, a state-space model is proposed, and recursive parameter estimators are proposed for quantities previously measured from offline data techniques such as the Allan variance method. The Allan variance method has large offline computational effort and data storage requirements. The technique proposed here requires no data storage and computational effort of approximately 100 calculations per data sample.

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15 citations in Scopus
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10 citations in Web of Science®

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ID Code: 78145
Item Type: Journal Article
Refereed: Yes
DOI: 10.2514/2.4666
ISSN: 1533-3884
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2000 by Jason J. Ford and Michael E. Evans
Deposited On: 30 Oct 2014 23:37
Last Modified: 30 Oct 2014 23:37

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