The problem of associating data from three spatially distributed heterogeneous sensors with three simultaneous detections for all three is discussed. The sensors can be active or passive. The source of a detection can be either a real target, in which case the measurement is the true observation variable of the target plus measurement noise, or a spurious one, i.e. a false alarm. The sensors may have nonunity detection probabilities. The problem is to associate the measurements from sensors to identify the real targets, and to obtain their position estimates. Mathematically this leads to a generalized 3D assignment problem, which is known to be NP-hard. An algorithm suited for estimating the positions of a large number of targets in a dense cluster, using a fast, but nearly optimal, 3D assignment algorithm, is presented. Performance results for several representative test cases with 64 targets are presented.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A multisensor-multitarget data association algorithm for heterogeneous sensors


    Beteiligte:
    Deb, S. (Autor:in) / Pattipati, K.R. (Autor:in) / Bar-Shalom, Y. (Autor:in)


    Erscheinungsdatum :

    1993-04-01


    Format / Umfang :

    779679 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Data Association in Multitarget Tracking with Multisensor

    Song, X. / Sun, Z. / Mo, L. et al. | British Library Conference Proceedings | 1997


    Multitarget-multisensor data association using the tree-reweighted max-product algorithm

    Chen Lei / Wainwright, M.J. / Cetin, M. et al. | Tema Archiv | 2003


    Multisensor-Multitarget Tracking

    Online Contents | 1996


    Multisensor multitarget bias estimation for general asynchronous sensors

    Lin, X. / Bar-Shalom, Y. / Kirubarajan, T. | IEEE | 2005