摘要
From a practical point of view, the paper introduces an effective compensation method for MEMS gyroscope random drift. First, the MEMS data will be collected and pretreated by using time-series analysis so as to get the random drift signals. Then the ARMA model will be established and the signals will be filtered by Kalman filtering. The compensation results by Kalman filtering shows that the proposed method can effectively reduce random drift not only on the conditions but also at constant rates.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 34th Chinese Control Conference, CCC 2015 |
| 编辑 | Qianchuan Zhao, Shirong Liu |
| 出版商 | IEEE Computer Society |
| 页 | 2078-2082 |
| 页数 | 5 |
| ISBN（电子版） | 9789881563897 |
| DOI | |
| 出版状态 | 已出版 - 11 9月 2015 |
| 活动 | 34th Chinese Control Conference, CCC 2015 - Hangzhou, 中国 期限: 28 7月 2015 → 30 7月 2015 |
出版系列
| 姓名 | Chinese Control Conference, CCC |
|---|---|
| 卷 | 2015-September |
| ISSN（印刷版） | 1934-1768 |
| ISSN（电子版） | 2161-2927 |
会议
| 会议 | 34th Chinese Control Conference, CCC 2015 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Hangzhou |
| 时期 | 28/07/15 → 30/07/15 |
指纹
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Shangguan, Y., Chen, J., Song, C., & Han, Y. (2015). Research on the compensation in MEMS gyroscope random drift based on time-series analysis and Kalman filtering. 在 Q. Zhao, & S. Liu (编辑), Proceedings of the 34th Chinese Control Conference, CCC 2015 (页码 2078-2082). 文章 7259955 (Chinese Control Conference, CCC; 卷 2015-September). IEEE Computer Society. https://doi.org/10.1109/ChiCC.2015.7259955