• DocumentCode
    1765586
  • Title

    Magnetometer Calibration Using Kalman Filter Covariance Matrix for Online Estimation of Magnetic Field Orientation

  • Author

    Beravs, Tadej ; Begus, Samo ; Podobnik, J. ; Munih, Marko

  • Author_Institution
    Lab. of Robot., Univ. of Ljubljana, Ljubljana, Slovenia
  • Volume
    63
  • Issue
    8
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    2013
  • Lastpage
    2020
  • Abstract
    The inertial/magnetic measurement units are an affordable instrument for the determination of orientation. The sensors embedded in the system are affected by nonidealities that can be greatly compensated by proper calibration, by determining sensor parameters, such as bias, misalignment, and sensitivity/gain. This paper presents an online calibration method for a three-axial magnetometer using a 3-D Helmholtz coil. The magnetometer is exposed to different directions of the magnetic field created by the 3-D coil. The parameters are estimated by using an unscented Kalman filter. The directions are calculated online by using a sensor parameter covariance matrix. The method evaluation is achieved by first running numerous simulations, followed by experiments using a real magnetometer, finally resulting in better accuracy of parameter estimation with a low number of measurement iterations compared with the method where magnetic field directions are determined manually.
  • Keywords
    Kalman filters; calibration; coils; covariance matrices; iterative methods; magnetic field measurement; magnetic sensors; magnetometers; nonlinear filters; 3D Helmholtz coil; embedded sensor; inertial-magnetic measurement unit; magnetic field orientation online estimation; measurement iteration number; online calibration method; sensor parameter covariance matrix; three-axial magnetometer; unscented Kalman filter; Calibration; Coils; Covariance matrices; Magnetic sensors; Magnetometers; Parameter estimation; Magnetometer calibration; orientation determination; sensor parameter estimation; unscented Kalman filtering (UKF); unscented Kalman filtering (UKF).;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2014.2302240
  • Filename
    6740059