| A study on identification and suppressing algorithm of FOG's random noise | |
| Hui Yuan; Zhaohui Liu(刘朝晖); Dongsheng Liang(梁冬生); Kai Cui(崔凯) | |
| 2012 | |
| 会议名称 | 2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012 |
| 会议录名称 | 2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012 |
| 页码 | 1195-1199 |
| 出版地 | 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States |
| 出版者 | IEEE Computer Society |
| 产权排序 | 1 |
| 摘要 | In this paper, the Allan variance technique is used in analyzing the output signal of a fiber optic gyroscope, by which the characteristics of the noise terms in the angular velocity data was determined. Then we process the random drift data of the FOG with a Kalman Filter based on the theory of time series analysis. On the other hand, an LMS adaptive filter is also applied to the random drift data. Comparative analysis on the filtering effect and their advantages and disadvantages of both algorithms is carried out. The results show both algorithms has a certain role on suppressing the random drift of the gyroscope, and the LMS adaptive filter is more effective and has a better adaptability in practice. |
| 作者部门 | 光电测量技术实验室 |
| 收录类别 | EI |
| ISBN号 | 9781467317436 |
| 语种 | 英语 |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/20867 |
| 专题 | 光电跟踪与测量技术研究室 |
| 推荐引用方式 GB/T 7714 | Hui Yuan,Zhaohui Liu,Dongsheng Liang,et al. A study on identification and suppressing algorithm of FOG's random noise[C]. 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States:IEEE Computer Society,2012:1195-1199. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| A study on identific（222KB） | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 | ||
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