Journal
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
Volume 59, Issue 4, Pages 4405-4413Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAES.2023.3242939
Keywords
Radar tracking; Target tracking; Noise measurement; Computational modeling; Time measurement; Length measurement; Geometry; PMHT; target detection; underwater multipath model
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We analyze the likelihood distribution for a multipath model without a target and focus on the peculiarities of the ML-PMHT when multiple peaks emerge. We study the separated peaks analytically and propose a numerical algorithm based on sampling for the general case. The final distribution is used to compute a parameter-dependent false alarm probability threshold.
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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