Spacecraft Relative State Tracking Based on Genetic Algorithm-embedded Particle Filter
Authors
Wenhua Cheng, Yasheng Zhang, Hong Yao
Corresponding Author
Wenhua Cheng
Available Online August 2015.
- DOI
- 10.2991/meita-15.2015.179How to use a DOI?
- Keywords
- Relative State, Genetic Algorithm, Particle Filter, GA-PF
- Abstract
Spacecraft Relative State Tracking is not only the application foundation of space-based space surveillance system, but also the important prerequisite for space autonomous rendezvous and on-orbit servicing. Through making genetic algorithm (GA) embedded PF resampling process, the particle degradation can be solved by using evolutionary thinking. Simulation result shows that GA-PF can achieve a good tracking for space target relative state.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wenhua Cheng AU - Yasheng Zhang AU - Hong Yao PY - 2015/08 DA - 2015/08 TI - Spacecraft Relative State Tracking Based on Genetic Algorithm-embedded Particle Filter BT - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications PB - Atlantis Press SP - 945 EP - 950 SN - 2352-5401 UR - https://doi.org/10.2991/meita-15.2015.179 DO - 10.2991/meita-15.2015.179 ID - Cheng2015/08 ER -