This paper proposes a new method for tracking the entire trajectory of a ballistic missile from launch to impact on the ground. Multiple state models are used to represent the different ballistic missile dynamics in three flight phases: boost, coast, and re-entry. In particular, the transition probabilities between state models are represented in a state-dependent way by utilizing domain knowledge. Based on this modeling system and radar measurements, a state-dependent interacting multiple model approach based on Gaussian particle filtering is developed to accurately estimate information describing the ballistic missile such as the phase of flight, position, velocity, and relevant missile parameters. Comprehensive numerical simulation studies show that the proposed method outperforms the traditional multiple model approaches for ballistic missile tracking.


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    Titel :

    Multiple Model Ballistic Missile Tracking With State-Dependent Transitions and Gaussian Particle Filtering


    Beteiligte:
    Miao Yu (Autor:in) / Liyun Gong (Autor:in) / Hyondong Oh (Autor:in) / Wen-Hua Chen (Autor:in) / Chambers, Jonathon (Autor:in)


    Erscheinungsdatum :

    01.06.2018


    Format / Umfang :

    1395823 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Tactical Ballistic Missile Tracking using the Interacting Multiple Model Algorithm

    Cooperman, R. / International Society of Information Fusion / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002