NDLI: Geomagnetic sensor random error modeling and compensation

Content Provider	IEEE Xplore Digital Library
Author	Zhang yanshun Du chaochao Zhou yingying Chen Chen
Copyright Year	2010
Description	Author affiliation: School of Instrumentation Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, China, 100191 (Zhang yanshun; Du chaochao; Zhou yingying) \|\| School of Information Technology, Tsinghua University, China, 100084 (Chen Chen)
Abstract	The characteristic of the output error of the geomagnetic sensor is analysed and the finite difference method is used to smooth the non-stationary data of geomagnetic sensor. Then the ARIMA model of the non-stationary data is established by using the time series analysis method. Considered the time series model as the State equation and the present moment measurement data as the measured values, this article designs the Kalman filter based on the model of ARIMA(3,2,0) to deal with the output data of the geomagnetic sensor. The result shows that the mean square error of the measurement data reduced 73.6% after filtering. The result of the raw data has proved the validity of the proposed model and filtering method. The research methods of this article can also be used for error modeling and filtering of. other kinds of sensors..
Starting Page	6639
Ending Page	6641
File Size	230120
Page Count	3
File Format	PDF
ISBN	9781424476169
e-ISBN	9781424476183
DOI	10.1109/ICISE.2010.5691377
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Time series analysis Educational institutions Data models Kalman filtering Kalman filters Mathematical model ARIMA model Geomagnetic sensor
Content Type	Text
Resource Type	Article

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