A test statistic, which does not require prior knowledge of pd, is proposed to support automatic track confirmation and termination decisions in a multiple hypotheses tracker (MHT). Use of gamma distributions yields a linear log-likelihood ratio (LLR) with constant parameters derived from target and clutter models. The proposed LLR results in a higher probability of true track confirmation (i.e., the statistical power of the test) for a given probability of false track confirmation than does the reference MHT implementation and more uniform confirmation statistics.


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    Title :

    Powerful Test Statistic for Track Management in Clutter


    Contributors:


    Publication date :

    2014-01-01


    Size :

    845513 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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