A central problem in multitarget-multisensor tracking is track-to-track association and fusion for tracks from multiple sensors. This problem is often confounded by the presence of inherent sensor biases, missing tracks, and false tracks. In this paper, an algorithm that addresses track-to-track association in the presence of bias and the corresponding bias estimation is presented and some parametric performance results are given. The algorithm utilizes Murty'sK-best algorithm to efficiently achieve a maximum likelihood estimate of the bias in conjunction with the most probable hypothesis for track-to-track association. Numerical examples are given to illustrate the application of the algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multisensor track association in the presence of bias


    Beteiligte:
    Hambrick, Dominick (Autor:in) / Blair, W. D. (Autor:in)


    Erscheinungsdatum :

    01.03.2014


    Format / Umfang :

    1244395 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Simulations studies of multisensor track association and fusion methods

    Kaplan, L.M. / Blair, W.D. / Bar-Shalom, Y. | IEEE | 2006


    An efficient algorithm for multisensor track fusion

    Saha, R.K. / Chang, K.C. | IEEE | 1998


    Multisensor target tracking performance with bias compensation

    Xiangdon Lin, / Bar-Shalom, Y. | IEEE | 2006


    An Efficient Algorithm for Multisensor Track Fusion

    Saha, R.K. | Online Contents | 1998