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Toolchain based hybrid implementation for GPS satellite communications with optical crosslinks
Author(s): Sixiao Wei; Xin Tian; Zhijiang Chen; Yi Li; Khanh Pham; James Lyke; Ken Foo; Nichole Sullivan; Genshe Chen
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Paper Abstract

With the explosive growth of network communication technologies, nowadays global positioning system (GPS) successfully provides the worldwide navigation service for militaries and civilians. Sailors, aviators, and car drivers rely heavily on the accuracy of navigation and position estimation provided by GPS. Instead of using conventional radio frequency (RF) crosslinks, the reliability and efficiency of information transmissions can be significantly enhanced with the aid of optical crosslinks between satellites. In this paper, we develop a toolchain-based hybrid implementation (TBHI) by designing and integrating multiple platforms and software to evaluate the performance of the next-generation global position system (GPS) with potential configuration of optical transmission crosslinks between satellites. A distributed, multi-simulation tool chain is developed in both the front-end and back-end to conduct a real-time evaluation of optical crosslinks. A comprehensive assessment is provided for the receiving or transmission chain, along with traffic loading evaluation of satellite crosslinks from both physical layer and network layer emulation. To further evaluate the effectiveness of our developed TBHI, we investigate five base-line traffic models which can cover most applications in the satellite communication, including single-time transmission, periodical transmission, regular data transmission with randomness, and small data transmission. For each model, we specify a group of parameters that can determine the statistical distribution used to generate the traffic loading. Experiments using real-world traffic traces are used to evaluate the effectiveness of our proposed TBHI framework. Our simulation validates that it can effectively and accurately visualize the GPS satellite communications.

Paper Details

Date Published: 31 May 2019
PDF: 12 pages
Proc. SPIE 11017, Sensors and Systems for Space Applications XII, 110170F (31 May 2019); doi: 10.1117/12.2520484
Show Author Affiliations
Sixiao Wei, Intelligent Fusion Technology, Inc. (United States)
Xin Tian, Intelligent Fusion Technology, Inc. (United States)
Zhijiang Chen, Intelligent Fusion Technology, Inc. (United States)
Yi Li, Intelligent Fusion Technology, Inc. (United States)
Khanh Pham, Air Force Research Lab. (United States)
James Lyke, Air Force Research Lab. (United States)
Ken Foo, Intelligent Fusion Technology, Inc. (United States)
Nichole Sullivan, Intelligent Fusion Technology, Inc. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 11017:
Sensors and Systems for Space Applications XII
Genshe Chen; Khanh D. Pham, Editor(s)

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