This paper takes the typical Suppression of Enemy Air Defence (SEAD, Suppression of Enemy Air Defence) combat mission as the background, and adopts the two iconic parameters of time benefit and threat cost to represent the UAV’s own conditions and external environmental influences. The improved ant colony algorithm can reasonably plan the airspace path of the UAV, and select the reasonable route with the least route cost. Then the feasibility of real-time dynamic adjustment of the airspace path is discussed for UAVs under the emergency threat scenario, achieving good performance, making the method applicable to a wider and more complex combat environment.
UAV Dynamic Trajectory Planning for Sudden Threat Detection
Lect. Notes Electrical Eng.
International Conference on Image, Vision and Intelligent Systems ; 2022 ; Jinan, China August 15, 2022 - August 17, 2022
Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022) ; Chapter : 97 ; 974-982
2023-03-29
9 pages
Article/Chapter (Book)
Electronic Resource
English
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