A moving platform photometric observation based attitude and angular velocity estimation method for space target. Issue 1 (1st March 2022)
- Record Type:
- Journal Article
- Title:
- A moving platform photometric observation based attitude and angular velocity estimation method for space target. Issue 1 (1st March 2022)
- Main Title:
- A moving platform photometric observation based attitude and angular velocity estimation method for space target
- Authors:
- Chen, Shengyi
Fan, Chaoran
Zhang, Feng
Shi, Liu - Abstract:
- Abstract: Based on the photometric information, a method is proposed for estimating space target attitude and angular velocity under the condition of moving observation platform. Firstly, according to the dynamically changing relative pose relationship among the target, the observation platform and the sun, photometric measurement model is established. Then, in the framework of Unscented Kalman Filter, the joint estimation of target attitude and angular velocity is realized by combining use of quaternion and Modified Rodriguez Parameters. Finally, the feasibility and estimation accuracy of the method are verified by numerical simulation experiments. The results show that the proposed method achieves high accuracy and has certain value in practical application.
- Is Part Of:
- Journal of physics. Volume 2220:Issue 1(2022)
- Journal:
- Journal of physics
- Issue:
- Volume 2220:Issue 1(2022)
- Issue Display:
- Volume 2220, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 2220
- Issue:
- 1
- Issue Sort Value:
- 2022-2220-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03-01
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/2220/1/012006 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22298.xml