An Approach for Observing and Modeling Errors in MEMS-Based Inertial Sensors under Vehicle Dynamic

Yannick Stebler, Stephane Guerrier, Jan Skaloud

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

This paper studies the error behavior of low-cost inertial sensors in dynamic conditions. After proposing a method for error observations per sensor (i.e., gyroscope or accelerometer) and axes, their properties are estimated via the methodology of generalized method of wavelet moments. The developed model parameters are compared with those obtained under static conditions. Then, an attempt is presented to link the parameters of the established model to the dynamic of the vehicle. It is found that a linear relation explains a large portion of the exhibited variability. These findings suggest that the static methods employed for the calibration of inertial sensors could be improved when exploiting such a relationship.

Original languageEnglish (US)
Article number7159103
Pages (from-to)2926-2936
Number of pages11
JournalIEEE Transactions on Instrumentation and Measurement
Volume64
Issue number11
DOIs
StatePublished - Nov 1 2015

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microelectromechanical systems
MEMS
vehicles
sensors
Sensors
Gyroscopes
gyroscopes
accelerometers
Accelerometers
Calibration
methodology
moments
Costs

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Stebler, Yannick ; Guerrier, Stephane ; Skaloud, Jan. / An Approach for Observing and Modeling Errors in MEMS-Based Inertial Sensors under Vehicle Dynamic. In: IEEE Transactions on Instrumentation and Measurement. 2015 ; Vol. 64, No. 11. pp. 2926-2936.
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An Approach for Observing and Modeling Errors in MEMS-Based Inertial Sensors under Vehicle Dynamic. / Stebler, Yannick; Guerrier, Stephane; Skaloud, Jan.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 64, No. 11, 7159103, 01.11.2015, p. 2926-2936.

Research output: Contribution to journalArticle

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