NDLI: Error modeling and characterization of environmental effects for low cost inertial MEMS units

Content Provider	IEEE Xplore Digital Library
Author	Yuksel, Y. El-Sheimy, N. Noureldin, A.
Copyright Year	2010
Description	Author affiliation: Department of Geomatics Engineering, University of Calgary, Canada (Yuksel, Y.; El-Sheimy, N.) \|\| Departments of Electrical and Computer Engineering, RMC / Queen's U, Kingston, Ontario, Canada (Noureldin, A.)
Abstract	The accurate modeling of MEMS based inertial sensor errors is one of the most challenging tasks in the design of low cost navigation systems. Although the design process of inertial navigation systems mainly depends on the sensor model parameters, a standard procedure for error characterization has yet to be developed. In the first part of this study we present a new method of stability error modeling for MEMS based multi-IMU systems. The developed method uses correlation of low pass filtered sensor outputs to derive sensor error models. In the second part the effects of i) temperature ii) time and iii) G and vibration on MEMS units' outputs are analyzed using a series of laboratory test results. A method compensating for the effect of temperature variation and modeling for residual compensation error is also explained. Better sensor models obtained with the methods presented in this paper will lead to more robust navigation systems with low cost MEMS units.
Starting Page	598
Ending Page	612
File Size	829808
Page Count	15
File Format	PDF
ISBN	9781424450367
ISSN	21533598
DOI	10.1109/PLANS.2010.5507180
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Micromechanical devices Sensor phenomena and characterization Sensor systems Temperature sensors Process design Inertial navigation Standards development Stability Low pass filters temperature compensation Multi-IMU error modeling
Content Type	Text
Resource Type	Article

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