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Proceedings Paper

Adaptive processing to ensure practical application of a multiple hypothesis tracking system
Author(s): Bradley K. Norman; Brian A. Cronin; Samuel S. Blackman; Robert J. Dempster
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Paper Abstract

Modern computational capabilities allow the practical application of Multiple Hypothesis Tracking (MHT) for difficult tracking conditions. However, even in typical expected scenarios, periods of unusually high target and / or clutter density may occur that stress the ability of MHT to operate in real-time and under the constraints of limited computer memory. This paper outlines methods that are being developed to ensure practical application, even though some performance degradation must be accepted, during these difficult conditions. These methods include the adaptive choice of track and hypothesis pruning parameters, IMM filtering models and new track initiation strategies as a function of the latency between the time that current observations are received and the track processing time. Methods to ensure that memory constraints are satisfied are also discussed. The methods are illustrated with examples from simulated missile defense scenarios where periods of very high target density are expected and a ground target tracking scenario with real radar data.

Paper Details

Date Published: 10 May 2006
PDF: 9 pages
Proc. SPIE 6201, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V, 62010N (10 May 2006); doi: 10.1117/12.666683
Show Author Affiliations
Bradley K. Norman, Raytheon (United States)
Brian A. Cronin, Raytheon (United States)
Samuel S. Blackman, Raytheon (United States)
Robert J. Dempster, Raytheon (United States)


Published in SPIE Proceedings Vol. 6201:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense V
Edward M. Carapezza, Editor(s)

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