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.
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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|Item Type:||Conference Paper|
|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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