We analyze the likelihood distribution for a multipath model in which no target is present, focusing on the peculiarities of the maximum-likelihood probabilistic multi-hypothesis tracker (ML-PMHT) when multiple peaks emerge. We study analytically the case in which peaks are separated and for the general case we propose a numerical algorithm based on sampling. The final distribution is used to compute a parameter-dependent false alarm probability threshold.


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    Title :

    Threshold Determination for False Track Probability in the Multipath ML-PMHT




    Publication date :

    2023-08-01


    Size :

    1424038 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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