We present a (suboptimal) filtering algorithm for tracking highly maneuvering targets in a cluttered environment using multiple sensors. We concentrate on two targets which temporarily move in close formation, giving rise to a single detection due to the resolution limitations of the sensor. The filtering algorithm is developed by applying the basic interacting multiple model (IMM) approach and a joint probabilistic data association with merged measurements (JPDAM) technique and coupled target state estimation to a Markovian switching system. The algorithm is illustrated via two simulation examples. Compared with an existing IMM/JPDA (joint probabilistic data association) filtering algorithm developed without accounting for merged measurements, the proposed algorithm achieves significant improvement in both the accuracy of track estimation during target merging period and the number of lost tracks.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Tracking of two targets in clutter with possibly unresolved measurements


    Beteiligte:
    Soonho Jeong, (Autor:in) / Tugnait, J.K. (Autor:in)


    Erscheinungsdatum :

    2008-04-01


    Format / Umfang :

    3655829 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Tracking closely-spaced, possibly unresolved, Rayleigh targets: Idealized resolution

    Blair, W.D. / Slocumb, B.J. / Brown, G.C. et al. | IEEE | 2002


    6.0201 Tracking Closely-Spaced, Possibly Unresolved, Rayleigh Targets: Idealized Resolution

    Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002