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dc.contributor.authorJusta, Josef
dc.contributor.authorŠmídl, Václav
dc.contributor.authorHamáček, Aleš
dc.date.accessioned2021-01-18T11:00:21Z-
dc.date.available2021-01-18T11:00:21Z-
dc.date.issued2020
dc.identifier.citationJUSTA, J., ŠMÍDL, V., HAMÁČEK, A. Fast AHRS filter for accelerometer, magnetometer and gyroscope combination with separated sensor correstions. SENSORS, 2020, roč. 20, č. 14, s. 1-19. ISSN 1424-8220.cs
dc.identifier.issn1424-8220
dc.identifier.uri2-s2.0-85087760681
dc.identifier.urihttp://hdl.handle.net/11025/42485
dc.format19 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherMDPIen
dc.relation.ispartofseriesSENSORSen
dc.rights© MDPIen
dc.titleFast AHRS filter for accelerometer, magnetometer and gyroscope combination with separated sensor correstionsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedA new predictor–corrector filter for attitude and heading reference systems (AHRS) using data from an orthogonal sensor combination of three accelerometers, three magnetometers and three gyroscopes is proposed. The filter uses the predictor—corrector structure, with prediction based on gyroscopes and independent correction steps for acceleration and magnetic field sensors. We propose two variants of the filter: (i) one using mathematical operations of special orthogonal group SO(3), that are accurate for nonlinear operations, for highest possible accuracy, and (ii) one using linearization of nonlinear operations for fast evaluation. Both approaches are quaternion-based filter realizations without redundant steps. The filters are compared to state of the art methods in this field on data recorded using low-cost microelectromechanical systems (MEMS) sensors with ground truth measured by the VICON optical system. Both filters achieved better accuracy than conventional methods at lower computational cost. The recorded data with ground truth reference and the source codes of both filters are publicly available.en
dc.subject.translatedattitude estimationen
dc.subject.translatedcomplementary filteren
dc.subject.translatedgradient descent filteren
dc.subject.translatedsensor fusionen
dc.identifier.doi10.3390/s20143824
dc.type.statusPeer-revieweden
dc.identifier.document-number557553600001
dc.identifier.obd43931143
dc.project.IDEF18_069/0009855/Elektrotechnické technologie s vysokým podílem vestavěné inteligencecs
dc.project.IDSGS-2018-016/Diagnostika a materiály v elektrotechnicecs
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