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

Wei Cao Chen; Guo Wei Gao; Juan Wang; Li Li Liu; Xi Lin Li

doi:10.4028/www.scientific.net/KEM.500.635

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 500The Study of the MEMS Gyro Zero Drift Signal Based...

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

Abstract:

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:

Key Engineering Materials (Volume 500)

Pages:

635-639

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.500.635

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Online since:

January 2012

Authors:

Wei Cao Chen, Guo Wei Gao, Juan Wang, Li Li Liu, Xi Lin Li

Keywords:

Adaptive Kalman Filter, Autoregressive AR Model, MEMS Gyro, Time Series Analysis, Zero Drift

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