The Study of the MEMS Gyro Zero Drift Signal Based on the Adaptive Kalman Filter

Abstract:

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The random noise is an important factor that affects the precision of the MEMS gyroscope. Based on the time-series analysis method, the AR model of the MEMS gyro drift signal is established. Then the adaptive Kalman filter is used to filter the drift signal. Comparison the original signal and the signal filtered by the adaptive Kalman filter, we found that the adaptive Kalman filter has the good filtering effect in the processing the zero drift signal of the MEMS gyro.

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Periodical:

Edited by:

David Wang

Pages:

635-639

DOI:

10.4028/www.scientific.net/KEM.500.635

Citation:

W. C. Chen et al., "The Study of the MEMS Gyro Zero Drift Signal Based on the Adaptive Kalman Filter", Key Engineering Materials, Vol. 500, pp. 635-639, 2012

Online since:

January 2012

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Price:

$35.00

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