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Distributed tracking with constrained communication

: Govaers, F.; Charlish, A.; Koch, W.

Institute of Electrical and Electronics Engineers -IEEE-:
Military Communications and Information Systems Conference, MCC 2013 : 7th - 9th October 2013, St. Malo, France
Piscataway, NJ: IEEE, 2013
ISBN: 978-83-934848-4-3
ISBN: 978-83-934848-8-1 (Print)
Military Communications and Information Systems Conference (MCC) <14, 2013, St. Malo>
Conference Paper
Fraunhofer FKIE

In realistic scenarios, distributed tracking is hindered due to limitations on the communication capacity between sensor nodes. In this paper, solutions for measurement fusion and track-to-track fusion in communication constrained distributed sensor networks are summarized. A comparison of the communication required and the target state estimate error of a central and distributed Kalman filter is presented. It is shown that the distributed Kalman filter requires significantly less communication than the central Kalman filter for realistic false measurement densities, and consequently the distributed Kalman filter achieves a significantly lower estimation error given a communication constraint.