Research on guidance law has begun to incorporate behavior information from non-cooperative target, and thus emphasized the importance and necessity of guidance law recognition. Recognition of guidance law on non-cooperative vehicle is highly supportive for pursued vehicle to conduct guidance law optimization, guidance law evaluation, and trajectory prediction. Huge variety of design and implementation of guidance law made recognition a hard problem. In this paper, a generic implicit guidance function is proposed to establish unified description of all known guidance laws. A practical model with time-varying guidance parameter is formulated to approximate generic implicit guidance function, and a Kalman Filter based observation data processing algorithm is proposed to build real-time guidance recognition. Simulation results show that, whether the vehicle under pursuit maneuvers or not, the guidance parameters of pursuing vehicle change or not, recognition algorithm can provide reasonable results.


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    Titel :

    Guidance law recognition of target pursuing vehicle


    Beteiligte:
    Du, Runle (Autor:in) / Liu, Jiaqi (Autor:in) / Li, Zhifeng (Autor:in) / Niu, Zhenhong (Autor:in)


    Erscheinungsdatum :

    2015-06-01


    Format / Umfang :

    199559 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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