Abstract
This paper presents the error analysis and stochastic modeling of commercial low-cost MEMS Accelerometer. Although Micro Electro Mechanical Systems (MEMS) based sensors have been utilized for the development of low-cost integrated navigation systems on the benefits of low inherent cost, small size, low power consumption, and solid reliability, it is significantly important to characterize the error behaviors of MEMS-based sensors and to construct more sophisticated mathematical modeling methods. The errors of MEMS-based accelerometer have been identified into deterministic and stochastic error sources and the stochastic error part was the focus to be discussed in this paper using discrete parameter models of stationary random process. Appropriate Autoregressive (AR) models have been analyzed which can be used to help the development of appropriate optimal algorithm for multiple sensor integration.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Huff, M.A.: Position Paper: MEMS Manufacturing, The MEMS Exchange. Reston, Virginia (1999)
Priestley, M.B.: Spectral Analysis and Time Series. Academic, London (2001)
Brown, R.G., Hwang, P.Y.C.: Introduction to Random Signals and Applied Kalman Filtering. Wiley, New York (1997)
Maybeck, P.S.: Stochastic Models, Estimation, Control, Volume 1, Mathematics In Science and Engineering (1994)
Titterton, D.H., Weston, J.L.: Strapdown Inertial Navigation Technology. Peter Peregrinus, UK (1997)
Allen, J.J. et al.: Integrated Micro-Electro Mechanical Sensor Development for Inertial Application. Sandia National Laboratories, Albuquerque, New Mexico (1998)
Kealy, A., Young, S.S., Leahy, F., Cross, P.: Improving the Performance of Satellite Navigation System for Land Mobile Applications through the Integration of MEMS Inertial Sensors. University of Melbourne, Australia (2001)
Lemaire, C., Sulouff, B.: Surface Micromachined Sensors for Vehicle Navigation Systems, Analog Devices, Inc (1999)
Nassar, S., Schwarz, K.P., Noureldin, A., El-Sheimy, N.: Modeling Inertial Sensor Errors Using Autoregressive (AR) Models. Proceedings of ION National Technical Meeting, Anaheim, California (2003)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Park, M., Gao, Y. Error Analysis and Stochastic Modeling of Low-cost MEMS Accelerometer. J Intell Robot Syst 46, 27–41 (2006). https://doi.org/10.1007/s10846-006-9037-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10846-006-9037-5