We have applied techniques, developed previously (1997), to samples of track measurements and have obtained decision rule that are asymptotically close to decision rule characteristics (probability of false objects generation is not greater than any given significance level, and possibility to omit existing objects decreases with increase of observation time). The recursive computation algorithm that implements the above decision rule is developed, and objects location estimates are also obtained at every time step.


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    Title :

    Statistical approach to track-to-track association problem


    Contributors:
    Pinsky, A. (author)


    Publication date :

    1998-01-01


    Size :

    303592 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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