In order to solve the problem that several UAVs (Unmanned Aerial Vehicles) in a cluster couldn’t receive sufficient satellites signals then failed to be located by the navigation system indecently, this article proposed a collaborative positioning method for UAV cluster based on hybrid recursive network. Through radio sensing, communication and ranging with other UAVs, the UAVs in a cluster could select the cooperative members in the cluster to form a best synergetic union in which transmission and information sharing was realized, then the position of the UAVs in synergetic union to be obtained. The simulation results verified the effectiveness of the proposed algorithm in complex environment where the number of GNSS satellites received was insufficient. At the same time, the method was efficient, convenient and low-cost, which could achieve the mass equipment of UAV cluster. It could provide reference for satellite positioning related research.
Collaborative Positioning Method for UAV Cluster Based on Hybrid Recursive Network
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021
Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) ; Kapitel : 317 ; 3233-3242
2022-03-18
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Europäisches Patentamt | 2023
|Relative Position-Based Collaborative Navigation for Cluster UAVs
Springer Verlag | 2024
|Traffic flow prediction method based on Fourier-recursive neural network
Europäisches Patentamt | 2020
|