A Novel Magnetometer Calibration Approach with Artificial Data

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Abstract

This paper proposes two methods for calibrating triaxial magnetometers. Both of them calibrate these sensors with more general assumption of noise on three axes than previous state-of-the-art methods. The first method estimates bias and rotation parameters more accurately and the second method yields a better estimate for the scaling parameter than the state- of-the-art method subMLE. The computational time of the latter is also 43 times faster than subMLE, which allows this method to be applied in devices with low-computational resources (e.g. smartphones). Furthermore, the second method yields more robust heading angle estimates compared to subMLE. This result implies that the second method can be applied in light-weight inertial measurement systems, for which the orientation of the device is vital information for pedestrian dead reckoning system.
Original languageEnglish
Title of host publication27th Saint Petersburg International Conference on Integrated Navigation Systems
PublisherIEEE
Number of pages4
ISBN (Electronic)9785919950684
DOIs
Publication statusPublished - May 2020
Publication typeA4 Article in a conference publication
EventSAINT PETERSBURG INTERNATIONAL CONFERENCE ON INTEGRATED NAVIGATION SYSTEMS -
Duration: 1 Jan 1900 → …

Conference

ConferenceSAINT PETERSBURG INTERNATIONAL CONFERENCE ON INTEGRATED NAVIGATION SYSTEMS
Period1/01/00 → …

Publication forum classification

  • Publication forum level 1

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