摘要
Navigation error of rotational inertial navigation system still diverges because of IMU errors. An improved self-calibration method is proposed to solve this problem. Least squares is utilized in identification of the error parameters with taking velocity errors as observations. The Genetic Algorithm(GA) is utilized to optimize the rotation angles, covariance matrix of the least squares is taken as fitness function of the GA. Simulation results show that compared to traditional method, the proposed method can improve the position accuracy significantly.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 2764-2767 |
| 页数 | 4 |
| ISBN（电子版） | 9781479925650 |
| DOI | |
| 出版状态 | 已出版 - 2013 |
| 活动 | 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 - Shenyang, 中国 期限: 20 12月 2013 → 22 12月 2013 |
出版系列
| 姓名 | Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 |
|---|
会议
| 会议 | 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Shenyang |
| 时期 | 20/12/13 → 22/12/13 |
指纹
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Ren, Q., Wang, B., Deng, Z., & Fu, M. (2013). An optimization self-calibration method of rotational inertial navigation system based on genetic algorithm. 在 Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 (页码 2764-2767). 文章 6885499 (Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEC.2013.6885499