On-line estimation of Allan variance parameters

Ford, Jason J. & Evans, Michael E. (1999) On-line estimation of Allan variance parameters. In Proceedings of Information, Decision and Control, 1999 (IDC 99), IEEE, Adelaide, Australia, pp. 439-444.

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Abstract

A new online method is presented for estimation of the angular random walk and rate random walk coefficients of IMU (inertial measurement unit) gyros and accelerometers. The online method proposes a state space model and proposes parameter estimators for quantities previously measured from off-line data techniques such as the Allan variance graph. Allan variance graphs have large off-line computational effort and data storage requirements. The technique proposed here requires no data storage and computational effort of O(100) calculations per data sample.

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ID Code: 78158
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1109/IDC.1999.754197
ISBN: 0780352564
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 1999 IEEE
Deposited On: 30 Oct 2014 22:39
Last Modified: 30 Oct 2014 23:43

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