In this paper, we analyzed the effective location of unmanned aerial vehicle (UAV) transmitting signal and the position adjustment of UAV in different formation, and established the mathematical model of multi-objective dynamic programming under the shortest path. The corresponding model is solved by using optimization algorithm and simulated annealing algorithm. The precise azimuth of a passive UAV is calculated from known polar coordinates and angles. Based on the three-target bearings-only triangulation method, the target triangle is obtained and the UAV position is determined by heart. The UAV with better position on the circumference is selected as the launch source.


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    Titel :

    Multi-objective Dynamic Optimization Scheme for Unmanned Aerial Vehicles


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Kountchev, Roumen (Herausgeber:in) / Patnaik, Srikanta (Herausgeber:in) / Nakamatsu, Kazumi (Herausgeber:in) / Kountcheva, Roumiana (Herausgeber:in) / Zhuang, Bao-Qiang (Autor:in) / Wang, Ya-Jun (Autor:in)

    Kongress:

    International Conference on Artificial Intelligence and Communication Technology ; 2023 ; Shenzhen, China June 09, 2023 - June 11, 2023



    Erscheinungsdatum :

    14.11.2023


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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