Air-to-air confrontation has attracted wide attention from artificial intelligence scholars. Since the existence of maneuvering targets and various interceptors, the mission autonomous planning of multi-target penetration strikes is difficult in unknown dynamic scenarios. A novel multi-target penetration strike autonomous planning method is proposed in this paper. First, a strike effectiveness function is designed, and dynamic target assignment is achieved through integer programming. Then, a strike planning algorithm based on deep reinforcement learning is designed to realize the autonomous decision-making of penetration in the presence of mission mutation. The simulation result shows that the method can achieve effective multi-target penetration strike in complex combat environments.


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    Titel :

    Multi-target Strike Planning in Unknown Dynamic Environment


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Fu, Wenxing (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Li, Wei (Autor:in) / Yan, Shi (Autor:in) / Wang, Mian (Autor:in) / Liang, Yan (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022



    Erscheinungsdatum :

    2023-03-10


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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