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Error model of geomagnetic-field measurement and extended Kalman-filter based compensation method

Author

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  • Zhilei Ge
  • Suyun Liu
  • Guopeng Li
  • Yan Huang
  • Yanni Wang

Abstract

The real-time accurate measurement of the geomagnetic-field is the foundation to achieving high-precision geomagnetic navigation. The existing geomagnetic-field measurement models are essentially simplified models that cannot accurately describe the sources of measurement error. This paper, on the basis of systematically analyzing the source of geomagnetic-field measurement error, built a complete measurement model, into which the previously unconsidered geomagnetic daily variation field was introduced. This paper proposed an extended Kalman-filter based compensation method, which allows a large amount of measurement data to be used in estimating parameters to obtain the optimal solution in the sense of statistics. The experiment results showed that the compensated strength of the geomagnetic field remained close to the real value and the measurement error was basically controlled within 5nT. In addition, this compensation method has strong applicability due to its easy data collection and ability to remove the dependence on a high-precision measurement instrument.

Suggested Citation

  • Zhilei Ge & Suyun Liu & Guopeng Li & Yan Huang & Yanni Wang, 2017. "Error model of geomagnetic-field measurement and extended Kalman-filter based compensation method," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-19, April.
    • Handle: RePEc:plo:pone00:0173962
    DOI: 10.1371/journal.pone.0173962
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    References listed on IDEAS

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    2. Xiaodian Sun & Li Jin & Momiao Xiong, 2008. "Extended Kalman Filter for Estimation of Parameters in Nonlinear State-Space Models of Biochemical Networks," PLOS ONE, Public Library of Science, vol. 3(11), pages 1-13, November.
    3. Lei Zhang & Zhenpo Wang & Fengchun Sun & David G. Dorrell, 2014. "Online Parameter Identification of Ultracapacitor Models Using the Extended Kalman Filter," Energies, MDPI, vol. 7(5), pages 1-14, May.
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