Abstract This paper focuses on the application of UAVs (unmanned aerial vehicles) on the information battlefield, and an intention prediction method for air targets is studied. Four factors of the enemy UAVs including velocity, angle, offense, and detection are analyzed and predicted by Grey Markov chain. Then, by combining the predicted factors with the rules provided by rough set, the enemy UAVs’ intention in the following short time can be deduced. The prediction method is studied utilizing incomplete information, and the feasibility of the developed prediction method is proved by the simulation results.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Prediction of Air Target Intention Utilizing Incomplete Information


    Beteiligte:
    Xia, Pengcheng (Autor:in) / Chen, Mou (Autor:in) / Zou, Jie (Autor:in) / Feng, Xing (Autor:in)


    Erscheinungsdatum :

    01.01.2016


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Target vehicle cut-in intention prediction method and device

    LIU YIDI / XIAO KAIXING / YAN XU et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Target tracking with incomplete detection

    Ma, Y. / Yu, Q. / Cohen, I. | British Library Online Contents | 2009


    Driver intention prediction and intention trajectory updating method

    LI JUNQIU / WU YONGHUA / CHEN JIAHUI | Europäisches Patentamt | 2023

    Freier Zugriff

    Target vehicle trajectory prediction method based on double-layer lane intention inference

    YU GUIZHEN / CHEN ZHIFA / LI ZHENG et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Quick identification method for space target intention based on early warning information

    XU MING / WANG YIFAN / BAI XUE et al. | Europäisches Patentamt | 2023

    Freier Zugriff