Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications

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/).

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Volume Title
Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-103-2
ISSN
2352-5401
DOI
10.2991/meita-15.2015.179How to use a DOI?
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  -