The large-scale application of small drones will have a disruptive impact on combat modes, security and control. At present, interception technologies and means mainly controlled by humans will gradually be at a disadvantage in this fast-paced confrontation, and it will be difficult to adapt to the needs of low-cost interception and control in complex environments. In the future strong adversarial environment, relying on artificial intelligence technology to enable unmanned aerial vehicles with autonomous interception and confrontation capabilities to participate in combat will be the development trend of future anti drone warfare. Therefore, studying the interception and countermeasure decision-making technology of small unmanned aerial vehicles is of great significance to improve the intelligent decision-making ability of mobile interception. This article investigates 1v1 drone air combat. We have established models for drones, missiles, radars, etc., built an air combat simulation environment, and conducted model training. From the final training effect, aircraft using intelligent models have a great advantage in combat.


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    Title :

    Research on Beyond Visual Range Air Combat Technology Based on Hybrid Decision Models


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Deng, Yimin (editor) / Li, Zhen (author) / Zhou, Yanzhang (author) / Chen, Tianyue (author) / Li, Shihao (author) / Yang, Helu (author)

    Conference:

    International Conference on Guidance, Navigation and Control ; 2024 ; Changsha, China August 09, 2024 - August 11, 2024



    Publication date :

    2025-02-27


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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