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Maximum likelihood calibration of a magnetometer using inertial sensors
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Uppsala University.
2014 (English)In: Proceedings of the 19th IFAC World Congress, 2014 / [ed] Boje, Edward and Xia, Xiaohua, International Federation of Automatic Control , 2014, 92-97 p.Conference paper (Refereed)
Abstract [en]

Magnetometers and inertial sensors (accelerometers and gyroscopes) are widely used to estimate 3D orientation. For the orientation estimates to be accurate, the sensor axes need to be aligned and the magnetometer needs to be calibrated for sensor errors and for the presence of magnetic disturbances. In this work we use a grey-box system identification approach to compute maximum likelihood estimates of the calibration parameters. An experiment where the magnetometer data is highly disturbed shows that the algorithm works well on real data, providing good calibration results and improved heading estimates. We also provide an identifiability analysis to understand how much rotation is needed to be able to solve the calibration problem.

Place, publisher, year, edition, pages
International Federation of Automatic Control , 2014. 92-97 p.
, World Congress, ISSN 1474-6670 ; Volume# 19, Part# 1
Keyword [en]
Magnetometers, calibration, inertial sensors, maximum likelihood, grey-box system identification, sensor fusion
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-111542ISBN: 978-3-902823-62-5OAI: diva2:757500
19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August 24-29, 2014
EU, FP7, Seventh Framework Programme, 1933031801Swedish Research Council, 1933011102
Available from: 2014-10-22 Created: 2014-10-22 Last updated: 2014-10-22Bibliographically approved

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