UAV clusters are a new type of cluster mode, which should maintain electromagnetic silence as much as possible during the formation flight. When the deviation of the UAVs position occurs during the flight, a pure direction finding method can be used to adjust the queue position of the UAVs. In this paper, we model and analyze the problem of position deviation for UAVs based on pure direction finding by optimizing theory and grid convenience method. Firstly, we establish an unbiased positioning model of the transmitter under ideal conditions. Then, we modify the model by equivalent conversion of deviation and establish the final biased positioning model of the transmitter. Finally, we simulate the actual UAV positioning situation through MATLAB simulation and verify the feasibility of our model.


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    Titel :

    A purely azimuth passive localization model and adjustment scheme for UAV formation


    Beteiligte:
    Lv, Zhihan (Herausgeber:in) / Ahmad, Badrul Hisham bin (Herausgeber:in) / Sun, Hao (Autor:in) / Dong, Linwei (Autor:in) / Huang, Xuhang (Autor:in) / Fan, Yuqi (Autor:in) / Mei, Yupeng (Autor:in)

    Kongress:

    Third International Conference on Image Processing and Intelligent Control (IPIC 2023) ; 2023 ; Kuala Lumpur, Malaysia


    Erschienen in:

    Proc. SPIE ; 12782


    Erscheinungsdatum :

    09.08.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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