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Research on optimal persistent formation algorithm of wireless ultraviolet collaboration UAV
Author(s): Taifei Zhao; Shixue Zhao; Dandan Cao
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Paper Abstract

Unmanned Aerial Vehicle (UAV) is a new type of flying work tool with the ability to execute tasks. Under strong electromagnetic interference, communication can be carried out by ultraviolet (UV) .Ultraviolet Communication was a communication mode used 200nm~280nm wavelength ultraviolet light as an information carrier. It has the advantage of all-weather operations, non-line-of-sight (NLOS) communication and strong anti- interference. When performing a mission, the UAV formation usually needs to form a fixed formation during the flight to ensure the stability of the link communication network. Moreover, due to the limited energy carried by the UAV, the energy consumption of UAV network should be reduced as much as possible on the basis of maintaining communication in order to maximize the flight time of UAV. The UAVs form persistent formation that need to know the location information of all the UAVs in the formation. When the GPS is not working properly, a kind of two dimensional (2D) localization algorithm which based on the wireless UV ranging method provides relative location information for the UAV formation. This paper proposes a persistent formation generation algorithm for the location information of UAVs that are not shared, the algorithm enables the UAV formation to generate a stable network topology with the least communication links and low energy consumption.

Paper Details

Date Published: 20 December 2019
PDF: 11 pages
Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 112094R (20 December 2019); doi: 10.1117/12.2549941
Show Author Affiliations
Taifei Zhao, Xi'an Univ. of Technology (China)
Shaanxi Civil-Military Integration Key Lab. of Intelligence Collaborative Networks (China)
Shixue Zhao, Xi'an Univ. of Technology (China)
Shaanxi Civil-Military Integration Key Lab. of Intelligence Collaborative Networks (China)
Dandan Cao, Xi'an Univ. of Technology (China)
Shaanxi Civil-Military Integration Key Lab. of Intelligence Collaborative Networks (China)


Published in SPIE Proceedings Vol. 11209:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019)
Hannan Wang, Editor(s)

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