Up to now, little attention has been posed on a principled derivation of the cost function used for autocalibration of MEMS tri-axial accelerometers. By formulating the calibration problem in the context of maximum likelihood estimate, we derive here a general formulation that can be reduced to the classical quadratic cost function under certain hypotheses. Moreover, we adopt the Akaike information criterion to automatically choose the most adequate linear sensor model for the given calibration data set. Experiments on simulated and real data show the effectiveness of the proposed approach.

Autocalibration of triaxial MEMS accelerometers with automatic sensor model selection / I. Frosio, F. Pedersini, N.A. Borghese. - In: IEEE SENSORS JOURNAL. - ISSN 1530-437X. - 12:6(2012), pp. 6123172.2100-6123172.2108. [10.1109/JSEN.2012.2182991]

Autocalibration of triaxial MEMS accelerometers with automatic sensor model selection

I. Frosio
Primo
;
F. Pedersini
Secondo
;
N.A. Borghese
Ultimo
2012

Abstract

Up to now, little attention has been posed on a principled derivation of the cost function used for autocalibration of MEMS tri-axial accelerometers. By formulating the calibration problem in the context of maximum likelihood estimate, we derive here a general formulation that can be reduced to the classical quadratic cost function under certain hypotheses. Moreover, we adopt the Akaike information criterion to automatically choose the most adequate linear sensor model for the given calibration data set. Experiments on simulated and real data show the effectiveness of the proposed approach.
Accelerometer ; Akaike information criterion ; Autocalibration ; Maximum likelihood ; Microelectromechanical systems (MEMS).
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Settore ING-INF/07 - Misure Elettriche e Elettroniche
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/175513
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