When tracking maneuvering targets with multiple sensors, the communication of measurements between the sensors or central-level tracker provides the best responsiveness to target maneuvers. However, when sensors are biased and the biases are not statistically insignificant, the maneuver detection and response in the central-level tracker is degraded. Due to the Markov modeling of the maneuver process in interacting multiple model (IMM) estimator, this degradation of the central-level tracking is acute. In this paper, the challenge of using an IMM estimator for central-level tracking of maneuvering targets with biased sensors is illustrated. In order to reduce the effects of sensor biases on the central-level tracks, the mode likelihoods are evaluated at the sensor and communicated to the central-level tracker along with the measurements. The benefits of using sensor-level mode likelihood in the central-level tracker is demonstrated via Monte Carlo simulations.


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    Titel :

    Tracking maneuvering targets with multiple biased sensors


    Beteiligte:
    Blair, W. D. (Autor:in) / Ogle, T. L. (Autor:in)


    Erscheinungsdatum :

    2016-03-01


    Format / Umfang :

    264558 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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