摘要
Considering the mission of a microsatellite approaching an unknown and non-cooperative target satellite, a method for relative state estimation of the target satellite using a monocular camera is proposed. Firstly, the relative kinematics and dynamics models between the target and the tracking satellite are established. Then, the pixel location of the feature points on the target is used as the filter input, and the relative states including relative position, relative velocity, relative attitude, angular velocity, inertia ratio and feature position of the target are estimated. Finally, the simulation results demonstrate the validation of the proposed method with the attitude estimation error less than 2°, the position estimation error less than 0.1 m and the average position estimation error of feature points less than 0.04 m.
| 投稿的翻译标题 | State Estimation of a Non-Cooperative Target Satellite Using Monocular Vision |
|---|---|
| 源语言 | 繁体中文 |
| 页(从-至) | 1243-1250 |
| 页数 | 8 |
| 期刊 | Yuhang Xuebao/Journal of Astronautics |
| 卷 | 40 |
| 期 | 10 |
| DOI | |
| 出版状态 | 已出版 - 30 10月 2019 |
关键词
- Extended Kalman filter
- Monocular camera
- Non-cooperative target satellite
- Relative state estimation
指纹
探究 '采用单目视觉的非合作目标星状态估计' 的科研主题。它们共同构成独一无二的指纹。引用此
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