Black flights of unauthorized unmanned aerial vehicle (UAV) have occurred frequently in recent years, threatening public safety. UAV mainly uses GNSS (Global Navigation Satellite System)/INS (Inertial Navigation System) integrated navigation for positioning. Due to the weakness of GNSS signal, spoofing UAV is possible. Some scholars have conducted researches on the spoofing of targets with integrated navigation, but these studies all use radar to obtain the target’s position, speed and acceleration in real time. This method has high technical complexity and expensive cost. To solve this problem, this research proposes a trap spoofing algorithm for target using GNSS/INS-integrated navigation system based on prior error compensation. By setting a spoofing trap in a certain area of the target path, when the target moves within the trap range, it will be trapped in designated areas by spoofing signals. Finally, this paper verifies the feasibility of the trap spoofing algorithm through simulation experiments.


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    Titel :

    Trap Spoofing Algorithm for Target Using GNSS/INS-Integrated Navigation System Based on Prior Error Compensation


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yang, Changfeng (Herausgeber:in) / Xie, Jun (Herausgeber:in) / Pan, Jianyu (Autor:in) / Chen, Lei (Autor:in) / Chen, Xin (Autor:in) / Yu, Wenxian (Autor:in)

    Kongress:

    China Satellite Navigation Conference ; 2022 ; Beijing, China May 22, 2022 - May 25, 2022



    Erscheinungsdatum :

    2022-05-10


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch