Angle-only tracking of airborne targets is challenging due to the ambiguity caused by the absence of a measure for range. If a colocated radar and angle-only sensor work collaboratively, it is possible to associate measurements and tracks using not only kinematics, but also radio frequency (RF) derived features. Combining kinematic distances and RF features in a probabilistic framework enables the stitching together of disparate measures in a coherent manner. In this article, we quantitatively formulate a probabilistic RF feature-based kinematic association technique which improves performance over kinematic association alone. We demonstrate a significant increase in accuracy using this RF feature-based kinematic association technique in challenging radar tracking scenarios with closely spaced targets.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Feature-Based Angle-Only Measurement to Radar Track Association


    Beteiligte:
    Goodman, Joel (Autor:in) / Lorenz, Kevin S. (Autor:in) / Wagner, Kevin (Autor:in) / Lewis, Codie (Autor:in)


    Erscheinungsdatum :

    01.06.2025


    Format / Umfang :

    1084024 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    OTH Radar Track Association

    Bogner | Online Contents | 1998




    Application of angle-only track to ballistic missile defense

    Weriner, L.B. / Homsley, T.L. | Tema Archiv | 1976


    Performance prediction of feature-aided track-to-track association

    Mori, Shozo / Kuo-Chu Chang / Chee-Yee Chong | IEEE | 2014