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An Interplanetary Network for Spacecraft Autonomous Navigation

Published online by Cambridge University Press:  17 May 2018

Shijun Xin ,
Yidi Wang ,
Wei Zheng ,
Yunhe Meng  and
Dapeng Zhang
Shijun Xin
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China)
Yidi Wang*
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China)
Wei Zheng
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China)
Yunhe Meng
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China)
Dapeng Zhang
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China)
*
(E-mail: [email protected])
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Abstract

An interplanetary autonomous navigation network, named the Internet of Spacecraft (IoS), is proposed in this paper to enable a Solar System-wide autonomous navigation capability for spacecraft. This network consists of two types of spacecraft, namely host and client spacecraft. The former provide the absolute reference for the whole network, and the latter determine their positions by communicating with the host spacecraft or other client spacecraft. To investigate the performance of IoS, a detailed application scheme that supports a flight from Earth to Mars is developed and analysed. IoS is not a simple extension of the navigation constellation. It is independent of the ground tracking system and the configuration of the network is flexible in that any spacecraft-installed identical device can be added to it. Moreover, client spacecraft whose positions have been determined can also be regarded as host spacecraft and provide further navigation information to others. This paper aims to provide technical support for future deep space exploration.

Keywords

Autonomous navigationInterplanetary Network of spacecraftDeep space exploration
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 6 , November 2018 , pp. 1381 - 1395
Copyright
Copyright © The Royal Institute of Navigation 2018 

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