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Proceedings Paper

Determining the optimal time frame for multisensor track correlation
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Paper Abstract

Conventional algorithms for track association (termed "correlation" by convention) employ algorithms which are applied to all sensor tracks at a specific time. The overall value of sensor networks for data fusion is closely tied to the reliability of correct association of common objects tracked by the sensors. Multisensor architectures consisting of gaps in target coverage requires that tracks must be propagated substantially forward or backward to a common time for correlation. This naturally gives rise to the question: at which time should track correlation be performed? In the conventional approach, a two-sensor correlation problem would be solved by propagating the first sensor's tracks forward to the update time (current time) of the tracks from the second sensor. We question this approach by showing simulation results that indicate that the current time can be the worst time to correlate. In addition, a methodology for calculating the approximate optimal correlation time for linear-Gaussian tracking problems is provided.

Paper Details

Date Published: 16 April 2008
PDF: 8 pages
Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690R (16 April 2008); doi: 10.1117/12.783107
Show Author Affiliations
Lisa M. Ehrman, Georgia Institute of Technology (United States)
Paul D. Burns, Georgia Institute of Technology (United States)
W. Dale Blair, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 6969:
Signal and Data Processing of Small Targets 2008
Oliver E. Drummond, Editor(s)

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