A technique for the evaluation of the track loss probability and the estimation error during track maintenance in clutter has been developed recently by the authors. This work overcomes the limitation of an earlier technique that does not handle the transient process of tracking divergence. Track loss, being a "runaway" phenomenon, clearly requires transient evaluation capability. The new technique provides, without the need for expensive Monte Carlo simulations, the probability that a hack is maintained in the presence of all sources of uncertainty encountered In a tracking process. This technique is of a hybrid nature; it involves explicit probabilistic accounting of both the continuous and the discrete uncertainties. Here it is demonstrated how this technique can be used for the selection of the detection threshold to optimize the overall performance of a detection-trading system.<>


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    Title :

    Detection threshold selection for tracking performance optimization


    Contributors:
    Li, X.R. (author) / Bar-Shalom, Y. (author)


    Publication date :

    1994-07-01


    Size :

    706660 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English