Open AccessError model of geomagnetic-field measurement and extended Kalman-filter based compensation method
Author(s) -
Ge Zhang,
Suyun Liu,
Guopeng Li,
Yan Huang,
Yanni Wang
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0173962
Subject(s) - earth's magnetic field , kalman filter , observational error , compensation (psychology) , field (mathematics) , computer science , filter (signal processing) , accuracy and precision , extended kalman filter , control theory (sociology) , geodesy , mathematics , magnetic field , statistics , physics , geology , artificial intelligence , computer vision , psychology , control (management) , quantum mechanics , psychoanalysis , pure mathematics
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.