NDLI: Evaluation of solid-state accelerometer for positioning of vehicle

Content Provider	IEEE Xplore Digital Library
Author	Nikbakht, S. Mazlom, M. Khayatian, A.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng., Shiraz Univ. (Nikbakht, S.)
Abstract	An evaluation of a low-cost, small sized solid state accelerometer in the absence of absolute positioning information is performed in this paper. Acceleration signal outputted by the sensor is doubly integrated with time that yields the travel distance. Due to bias and Thermal noise of the accelerometer which is accumulate in time, Kalman filter is need to be design to increase the accuracy of position estimation system. A modeling for bias of solid state accelerometer ADXL250 QCG without aiding sensor evaluated in this paper. During the preceding time instants, the position information becomes increasingly untrustworthy and the validity of the position updates decays. So, we used a smoother algorithm based Kalman filter for better estimation accuracy in position estimation. Result show smoothing algorithm increase the accuracy of position estimate for short time duration
Starting Page	729
Ending Page	733
File Size	1765158
Page Count	5
File Format	PDF
ISBN	0780394844
DOI	10.1109/ICIT.2005.1600732
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid state circuits Accelerometers Vehicles Gyroscopes Global Positioning System Mobile robots Acceleration Solid modeling Smoothing methods Inertial navigation Smoothing INS IMU bias solid state accelerometer Kalman filter (KF)
Content Type	Text
Resource Type	Article

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