A generalized and unified target state estimation formulation is presented for accurately estimating the states of an airborne target, which can either be nonmaneuvering or undergoing various maneuvers. A nonlinear predictive zero effort miss-based guidance algorithm is also presented here. Extensive high-fidelity six degrees-of-freedom simulation experiments show that near-zero miss distance (i.e., hit-to-kill level performance) can be obtained when these two new techniques are applied together. Moreover, there is a substantial saving in control energy.


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    Titel :

    Generalized estimation and predictive guidance for evasive targets


    Beteiligte:


    Erscheinungsdatum :

    2016-10-01


    Format / Umfang :

    1829136 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch