15 May 2012 Information-based data prioritization in distributed tracking systems
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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.
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Nick Coult, Nick Coult, J. Nate Knight, J. Nate Knight, Woody Leed, Woody Leed, Scott Danford, Scott Danford, Randy Paffenroth, Randy Paffenroth, Aubrey Poore, Aubrey Poore, } "Information-based data prioritization in distributed tracking systems", Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 83930L (15 May 2012); doi: 10.1117/12.919157; https://doi.org/10.1117/12.919157
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