@inproceedings{d1ed64dea5f34d58a710e5a1b8355779,
title = "Autonomous optical navigation approach aided by radio beacon for deep space spacecraft",
abstract = "According to task requests of deep space exploration approach phase such as autonomy, real-time and so on, we did a research into the problem of autonomous navigation at this approach phase and put forward an autonomous navigation project which made use of radio beacon and navigation camera to determine relative position and velocity of the spacecraft. The radio beacon could measure its distance to the spacecraft and the navigation camera could acquire the line-of-sight vector to the target. With Kalman filter we could get the spacecraft's state information. The observability degree of the navigation system was increased by importing a new observation. In order to verify the performance of this autonomous navigation system, Simulink tests based on the practical data of Deep Impact mission were carried on. The results show that the presented method can not only meet navigation requests of approach phase but also gain the navigation system observability degree.",
keywords = "Kalman filter, deep space explorer, optical navigation, radio ranging",
author = "Jing Yan and Zhu Shengying and Wang Lina",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 28th Chinese Control and Decision Conference, CCDC 2016 ; Conference date: 28-05-2016 Through 30-05-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/CCDC.2016.7532142",
language = "English",
series = "Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6354--6359",
booktitle = "Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016",
address = "United States",
}