PMHT for maneuvering targets

Peter K. Willett; Yanhua Ruan; Roy L. Streit

doi:10.1117/12.324645

3 September 1998 PMHT for maneuvering targets

Peter K. Willett, Yanhua Ruan, Roy L. Streit

Proceedings Volume 3373, Signal and Data Processing of Small Targets 1998; (1998) https://doi.org/10.1117/12.324645
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

The Probabilistic Multi-Hypothesis Tracker (PMHT) of Streit and Luginbuhl uses the EM algorithm and a slight modification of the usual target-tracking assumptions to combine data-association and filtering. The performance of the PMHT to date has been comparable to that of existing tracking algorithms; however, part of its appeal is a consistent and extensible statistical foundation, and it is the extension to the tracking of maneuvering targets which we explore in this paper. The basis, as with many algorithms designed for maneuvering targets, is of an underlying and hidden 'model-switch' process controlled by a Markov probability structure. Performance of the modified PMHT is investigated both for maneuvering and non-maneuvering targets. The improved performance observed in the latter case is somewhat surprising.

Citation Download Citation

Peter K. Willett, Yanhua Ruan, and Roy L. Streit "PMHT for maneuvering targets", Proc. SPIE 3373, Signal and Data Processing of Small Targets 1998, (3 September 1998); https://doi.org/10.1117/12.324645

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