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Calibration of low-cost accelerometer and magnetometer with differential evolution

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dc.title Calibration of low-cost accelerometer and magnetometer with differential evolution en
dc.contributor.author Kunčar, Aleš
dc.contributor.author Sysel, Martin
dc.contributor.author Urbánek, Tomáš
dc.relation.ispartof ICMT 2017 - 6th International Conference on Military Technologies
dc.identifier.isbn 978-1-5386-1988-9
dc.date.issued 2017
dc.citation.spage 414
dc.citation.epage 418
dc.event.title 6th International Conference on Military Technologies, ICMT 2017
dc.event.sdate 2017-05-31
dc.event.edate 2017-06-02
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/MILTECHS.2017.7988795
dc.relation.uri http://ieeexplore.ieee.org/abstract/document/7988795/
dc.subject accelerometer en
dc.subject calibration en
dc.subject differential evolution en
dc.subject magnetometer en
dc.subject MEMS en
dc.subject sensor en
dc.description.abstract Generally, low-cost MEMS (Micro-ElectroMechanical Systems) sensors are used in many engineering applications; however, their accuracy is influenced by many factors; therefore, the calibration is an actual issue and it is necessary to be provided before its use in advanced applications. This research paper describes calibration method for three axis accelerometer and magnetometer. The calibration algorithm uses differential evolution (DE) algorithm. This calibration method calculates scale factors, misalignment angles, bias for accelerometer, and magnetic deviations for magnetometer. The performance of this method is analysed in the experiment on the module LSM303DLHC from STMicroelectronics. The experimental results are furthermore compared to the traditional methods. The results show that the root mean square error is least using DE algorithm than the traditional method. © 2017 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007518
utb.identifier.obdid 43876772
utb.identifier.scopus 2-s2.0-85029375807
utb.source d-scopus
dc.date.accessioned 2017-10-16T14:43:41Z
dc.date.available 2017-10-16T14:43:41Z
utb.contributor.internalauthor Kunčar, Aleš
utb.contributor.internalauthor Sysel, Martin
utb.contributor.internalauthor Urbánek, Tomáš
utb.fulltext.affiliation Ales Kuncar, Martin Sysel and Tomas Urbanek Tomas Bata University in Zlin, Faculty of Applied Informatics, Namesti T.G.Masaryka 5555, 76001 Zlin, Czech Republic e-mail: kuncar@fai.utb.cz, sysel@fai.utb.cz, turbanek@fai.utb.cz
utb.fulltext.dates -
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utb.fulltext.sponsorship This work was supported by Internal Grant Agency of Tomas Bata University in Zlin under the project No. IGA/FAI/2017/007.
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Namesti T.G. Masaryka 5555, Zlin, Czech Republic
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