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Proceedings Paper

Information-based data prioritization in distributed tracking systems
Author(s): Nick Coult; J. Nate Knight; Woody Leed; Scott Danford; Randy Paffenroth; Aubrey Poore
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Paper Abstract

Effective multi-sensor, multi-target, distributed composite tracking requires the management of limited network bandwidth. In this paper we derive from first principles a value of information for measurements that can be used to sort the measurements in order from most to least valuable. We show the information metric must account for the models and filters used by the composite tracking system. We describe how this value of information can be used to optimize bandwidth utilization and illustrate its effectiveness using simulations that involve lossy and latent network models.

Paper Details

Date Published: 15 May 2012
PDF: 13 pages
Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 83930L (15 May 2012); doi: 10.1117/12.919157
Show Author Affiliations
Nick Coult, Numerica Corp. (United States)
J. Nate Knight, Numerica Corp. (United States)
Woody Leed, Numerica Corp. (United States)
Scott Danford, Numerica Corp. (United States)
Randy Paffenroth, Numerica Corp. (United States)
Aubrey Poore, Numerica Corp. (United States)


Published in SPIE Proceedings Vol. 8393:
Signal and Data Processing of Small Targets 2012
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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