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Proceedings Paper

Solving the distributed multiple platform tracking problem with the PMHT algorithm
Author(s): Darin T. Dunham
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Paper Abstract

In 1995, Streit and Luginbuhl introduced a new tracking algorithm1, which offered a balance between the single-frame approach of the Probabilistic Data Association Filter (PDAF) and the multiple frame approach of the Multiple Hypothesis Tracker (MHT). With single-frame tracking algorithms, only information that has been received to date is used to determine the association between tracks and measurements. These decisions are made based on available data and are not changed even when future data may indicate that a decision was incorrect. On the other hand, in multi-frame algorithms, hard decisions are delayed until some time in the future, thus allowing the possibility that incorrect association decisions may be corrected with more data. This paper presents the initial results of some new research using the PMHT algorithm as a 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. The PMHT uses both past and present data without enumerating most of the possibility measurement-to-track assignments. Instead the PMHT uses probabilistic weightings via Gaussian mixtures to define the relationship between measurements and tracks.

Paper Details

Date Published: 15 September 2005
PDF: 10 pages
Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59131C (15 September 2005); doi: 10.1117/12.615721
Show Author Affiliations
Darin T. Dunham, Independent Contractor (United States)


Published in SPIE Proceedings Vol. 5913:
Signal and Data Processing of Small Targets 2005
Oliver E. Drummond, Editor(s)

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