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

We analyze the likelihood distribution for a multipath model in which no target is present, focusing on the peculiarities of the 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...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2023-08, Vol.59 (4), p.1-8
Main Authors: Palmieri, Francesco A., Franzini, Christopher, Willett, Peter, Shalom, Yaakov Bar
Format: Article
Language:English
Subjects:
Algorithms
Computational modeling
False alarms
Geometry
Length measurement
Noise measurement
Numerical analysis
PMHT
Radar tracking
Statistical analysis
Target Detection
Target tracking
Time measurement
Underwater multipath model
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Summary:We analyze the likelihood distribution for a multipath model in which no target is present, focusing on the peculiarities of the 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.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2023.3242939