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    Temporal fusion in multi-sensor target tracking systems

    Temporal fusion in multi-sensor target tracking systems


    For a multi-sensor tracking system, the effects of temporally staggered sensors are investigated and compared with synchronous sensors. To make fair comparisons, a new metric, the average estimation error variance, is defined. Many analytical results are derived for sensors with equal measurement noise variance. Temporally staggered sensors always result in a smaller average error variance than synchronous sensors. The corresponding optimal staggering pattern is such that the sensors are uniformly distributed over time. For sensors with different measurement noise variances, the optimal staggering pattern can be found numerically. Intuitive guidelines on selecting optimal staggering pattern have been presented for different target tracking scenarios.

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    Titel :

    Temporal fusion in multi-sensor target tracking systems

    Beteiligte:
    Ruixin Niu, (Autor:in) / Varshney, P. (Autor:in) / Mehrotra, K. (Autor:in) / Mohan, C. (Autor:in)
    Erschienen in:

    Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) ; 2 ; 1030-1037 vol.2

    Erscheinungsdatum :

    2002-01-01

    Format / Umfang :

    385280 byte

    ISBN :

    0-9721844-1-4

    DOI :

    https://doi.org/10.1109/ICIF.2002.1020925

    Medientyp :

    Aufsatz (Konferenz)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

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