摘要
Matching algorithm is one of the key techniques of underwater gravity-aided inertial navigation system. Gravity anomaly data is used in the conventional gravity matching algorithms, however the neglect of gravity matching characteristic of gravity field may cause mismatching and decrease of navigation accuracy sometimes. Therefore, a matching algorithm with gravity matching characteristic is proposed which is based on the vector matching algorithm. In the proposed algorithm, a particle weight optimal combination based on gravity matching characteristic is used to improve particle filter model. Experiments show that the matching result of the proposed algorithm is more precise and reliable than which of the vector matching algorithm.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings - 2020 Chinese Automation Congress, CAC 2020 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 6250-6253 |
| 页数 | 4 |
| ISBN（电子版） | 9781728176871 |
| DOI | |
| 出版状态 | 已出版 - 6 11月 2020 |
| 活动 | 2020 Chinese Automation Congress, CAC 2020 - Shanghai, 中国 期限: 6 11月 2020 → 8 11月 2020 |
出版系列
| 姓名 | Proceedings - 2020 Chinese Automation Congress, CAC 2020 |
|---|
会议
| 会议 | 2020 Chinese Automation Congress, CAC 2020 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Shanghai |
| 时期 | 6/11/20 → 8/11/20 |
指纹
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Wang, C., Wang, B., Deng, Z., & Fu, M. (2020). A Matching Algorithm with Gravity Field Matching Characteristic for Underwater Gravity-aided Inertial Navigation. 在 Proceedings - 2020 Chinese Automation Congress, CAC 2020 (页码 6250-6253). 文章 9326830 (Proceedings - 2020 Chinese Automation Congress, CAC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC51589.2020.9326830