Articles | Volume 7, issue 1
https://doi.org/10.5194/jsss-7-245-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.Calibration of tri-axial MEMS accelerometers in the low-frequency range – Part 1: comparison among methods
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2019J. Sens. Sens. Syst., 7, 403–410,
2018J. Sens. Sens. Syst., 6, 367–374,
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2017Cited articles
Batista, P., Silvestre, C., Oliveira, P., and Cardeira, B.: Accelerometer
calibration and dynamic bias and gravity estimation: Analysis, design, and
experimental evaluation, IEEE T. Control Syst. Technol., 19, 1128–1137,
https://doi.org/10.1109/TCST.2010.2076321, 2011.
Borgia, E.: The Internet of Things vision: Key features, applications and
open issues, Comput. Commun., 54, 1–31, https://doi.org/10.1016/j.comcom.2014.09.008,
2014.
Chen, D. and Han, J.: Application of wavelet neural network in signal
processing of MEMS accelerometers, Microsyst. Technol., 17, 1–5,
https://doi.org/10.1007/s00542-010-1169-7, 2011.
Czech, K. R. and Gosk, W.: Measurement of surface vibration accelerations
propagated in the environment, Proc. Eng., 189, 45–50,
https://doi.org/10.1016/j.proeng.2017.05.008, 2017.
D'Emilia, G., Gaspari, A., and Natale, E.: Dynamic calibration uncertainty of
three-axis low frequency accelerometers, Acta IMEKO, 4, 75–81,
https://doi.org/10.21014/acta_imeko.v4i4.239, 2015.