In this paper, a hybrid localization algorithm of angle of arrival (AOA) and time difference of arrival (TDOA) based on D-optimality is proposed to solve the localization problem of multi moving targets by UAV swarm. Firstly, the AOA/TDOA positioning model and AOA/TDOA hybrid model are established. Then, the D-optimality under the model is deduced theoretically, and the optimal space configuration of UAV swarm is analyzed by using FIM. Finally, taking the maximum value of the determinant of the hybrid FIM matrix as the objective function, the real-time trajectory optimization of UAV swarm is realized. The simulation results show that the positioning accuracy of UAV group under various moving states can be effectively improved by path optimization.


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    Titel :

    Hybrid Location and Path Optimization of AOA/TDOA UAV Swarm Based on D-optimality


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wu, Meiping (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Cheng, Jin (Herausgeber:in) / Wang, ZiChen (Autor:in) / Sun, HeMin (Autor:in) / Li, Hao (Autor:in) / Zhang, HuaiZhong (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Erscheinungsdatum :

    2022-03-18


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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