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Distributed multiple sensor tracking with the PMHT

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.