Abstract
The relationship between the zero bias stability of MEMS gyroscope and the variance of MEMS gyroscope signal is analyzed in this paper, what's more, Wavelet transform and time series method are adopted here to reduce the gyroscope random drift, after that, the value of zero bias stability of the original signal and the filtered signal are calculated. The experimental results indicate that zero bias stability of the filtered signal is better than the original signal, that is to say, the method proposed in this paper has a very good effect for the improvement of the zero bias stability of the MEMS gyroscope.
| Original language | English |
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| Pages | 744-748 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2013 Chinese Automation Congress, CAC 2013 - Changsha, China Duration: 7 Nov 2013 → 8 Nov 2013 |
Conference
| Conference | 2013 Chinese Automation Congress, CAC 2013 |
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| Country/Territory | China |
| City | Changsha |
| Period | 7/11/13 → 8/11/13 |
Keywords
- MEMS gyroscope
- kalman filter
- time series
- wavelet transform
- zero bias stability