2017
DOI: 10.1049/trit.2017.0024
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Magnetic orientation system based on magnetometer, accelerometer and gyroscope

Abstract: Magnetic orientation systems have widely been used by measuring the earth magnetic field and provide a pervasive source of directional information. However, to obtain the high precision, orientation systems must be compensated prior to use for the various errors of magnetometers such as the bias, misalignment and inconsistence in sensitivity, and the pitch and roll angles, especially in dynamic state. In this study, magnetic orientation system mainly consist of three single-axis magnetometers, a tri-axis accel… Show more

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Cited by 3 publications
(3 citation statements)
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“…The forth paper in this special issue designed a magnetic orientation system by integrating gyroscope, accelerometer, and magnetometer [4]. The Kalman filtering algorithm was utilized to fuse the data from different sensors.…”
mentioning
confidence: 99%
“…The forth paper in this special issue designed a magnetic orientation system by integrating gyroscope, accelerometer, and magnetometer [4]. The Kalman filtering algorithm was utilized to fuse the data from different sensors.…”
mentioning
confidence: 99%
“…In the field of navigation technology, the triaxial magnetic measurement system, with the AMR magnetometer as the core sensor which measures the earth’s magnetic field to obtain precise directional information [ 1 ], has been widely applied to vehicle detection [ 2 ], resource exploration [ 3 ], magnetic anomaly detection and navigation [ 4 , 5 , 6 ], due to the advantages of using a magnetometer such as small space occupation, fast response speed, good anti-overload performance, low cost, etc. [ 4 , 7 ]; as well, it is used in guided munitions.…”
Section: Introductionmentioning
confidence: 99%
“…In order to address the monitoring issues, a variety of sensor classes have been used that involve vision sensors, motion sensors etc. [5,6]. Vision sensors provide good results when the subject motion is limited and background is separable from foreground [7].…”
Section: Introductionmentioning
confidence: 99%