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Link establishment criterion and topology optimization for hybrid GPS satellite communications with laser crosslinks
Author(s): Lun Li; Sixiao Wei; Xin Tian; Li-Tse Hsien; Zhijiang Chen; Khanh Pham; James Lyke; Genshe Chen
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Paper Abstract

In the current global positioning system (GPS), the reliability of information transmissions can be enhanced with the aid of inter-satellite links (ISLs) or crosslinks between satellites. Instead of only using conventional radio frequency (RF) crosslinks, the laser crosslinks provide an option to significantly increase the data throughput. The connectivity and robustness of ISL are needed for analysis, especially for GPS constellations with laser crosslinks. In this paper, we first propose a hybrid GPS communication architecture in which uplinks and downlinks are established via RF signals and crosslinks are established via laser links. Then, we design an optical crosslink assignment criteria considering the practical optical communication factors such as optical line- of-sight (LOS) range, link distance, and angular velocity, etc. After that, to further improve the rationality of establishing crosslinks, a topology control algorithm is formulated to optimize GPS crosslink networks at both physical and network layers. The RF transmission features for uplink and downlink and optical transmission features for crosslinks are taken into account as constraints for the optimization problem. Finally, the proposed link establishment criteria are implemented for GPS communication with optical crosslinks. The designs of this paper provide a potential crosslink establishment and topology control algorithm for the next generation GPS.

Paper Details

Date Published: 8 May 2018
PDF: 11 pages
Proc. SPIE 10641, Sensors and Systems for Space Applications XI, 106410I (8 May 2018); doi: 10.1117/12.2305245
Show Author Affiliations
Lun Li, Intelligent Fusion Technology, Inc. (United States)
Sixiao Wei, Intelligent Fusion Technology, Inc. (United States)
Xin Tian, Intelligent Fusion Technology, Inc. (United States)
Li-Tse Hsien, Intelligent Fusion Technology, Inc. (United States)
Zhijiang Chen, Intelligent Fusion Technology, Inc. (United States)
Khanh Pham, Air Force Research Lab. (United States)
James Lyke, Air Force Research Lab. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 10641:
Sensors and Systems for Space Applications XI
Khanh D. Pham; Genshe Chen, Editor(s)

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