Distributed inference for network localization using radio interferometric ranging

Authors:
Dennis Lucarelli;Anshu Saksena;Ryan Farrell;I-Jeng Wang
Affiliations:
Applied Physics Laboratory, Johns Hopkins University, Laurel, MD;Applied Physics Laboratory, Johns Hopkins University, Laurel, MD;Applied Physics Laboratory, Johns Hopkins University, Laurel, MD and Computer Science Department, University of Maryland, College Park, MD;Applied Physics Laboratory, Johns Hopkins University, Laurel, MD
Venue:
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
Year:
2008

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Abstract

A localization algorithm using radio interferometric measurements is presented. A probabilistic model is constructed that accounts for general noise models and lends itself to distributed computation. A message passing algorithm is derived that exploits the geometry of radio interferometric measurements and can support sparse network topologies and noisy measurements. Simulations on real and simulated data show promising performance for 2D and 3D deployments.