Paper
19 May 2006 Distributed multiple sensor tracking with the PMHT
Author Affiliations +
Abstract
The Probabilistic Multi-Hypothesis Tracker (PMHT) is an emerging algorithm that has shown some success and is intriguing because of its elegance and extensibility in many different aspects. It is a tracking algorithm that offers an alternative to the Multiple Hypothesis Tracker (MHT) in the multiple-frame tracking arena. Instead of enumerating many of the possibilities of track-to-measurement assignments, the PMHT uses a probabilistic approach to assign the likely "weight" of each measurement to contribute to each track. This paper presents the ongoing results of research using the PMHT algorithm as a network-level composite tracker on distributed platforms. In addition, the methods necessary to implement the PMHT in a realistic simulation are discussed. It further describes the techniques that have been tried to ensure a single integrated air picture (SIAP) across the platforms.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Darin T. Dunham "Distributed multiple sensor tracking with the PMHT", Proc. SPIE 6236, Signal and Data Processing of Small Targets 2006, 62360X (19 May 2006); https://doi.org/10.1117/12.669056
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Composites

Detection and tracking algorithms

Missiles

Monte Carlo methods

X band

Radar

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