In recent years, the comprehensive capability of unmanned aerial vehicles (UAVs) has been significantly improved, and the participation of UAV in modern wars has gradually become a reality. The maneuvering decision-making for UAV air combat is an intelligent process. In this paper, a one-to-one air combat algorithm based on Bayesian probability model and influence diagram is proposed. The element of air combat is analyzed with the help of influence diagram. In the environment of one-to-one air combat, an air combat assessment model is proposed based on Bayesian theory to predict air combat situation. Then, the UAV makes autonomous decisions based on the current air combat situation prediction results. The simulation results validate the effectiveness of the proposed algorithm.
UAV Air Combat Algorithm Based on Bayesian Probability Model
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022
Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) ; Kapitel : 292 ; 3176-3185
2023-03-10
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Probability based vehicle fault diagnosis: Bayesian network method
Tema Archiv | 2008
|NTIS | 1985