Information-based data prioritization in distributed tracking systems

Nick Coult; J. Nate Knight; Woody Leed; Scott Danford; Randy Paffenroth; Aubrey Poore

doi:10.1117/12.919157

15 May 2012 Information-based data prioritization in distributed tracking systems

Nick Coult, J. Nate Knight, Woody Leed, Scott Danford, Randy Paffenroth, Aubrey Poore

Proceedings Volume 8393, Signal and Data Processing of Small Targets 2012; 83930L (2012) https://doi.org/10.1117/12.919157
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Nick Coult, J. Nate Knight, Woody Leed, Scott Danford, Randy Paffenroth, and 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); https://doi.org/10.1117/12.919157

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