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Distributed Inference for Network Localization Using Radio Interferometric Ranging

Summary: Distributed Inference for Network Localization
Using Radio Interferometric Ranging
Dennis Lucarelli1
, Anshu Saksena1
, Ryan Farrell1,2
, and I-Jeng Wang1
Applied Physics Laboratory, Johns Hopkins University, Laurel, MD
Computer Science Department, University of Maryland, College Park, MD
Abstract. A localization algorithm using radio interferometric mea-
surements is presented. A probabilistic model is constructed that
accounts for general noise models and lends itself to distributed computa-
tion. 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.
1 Introduction
Self-localization is a fundamental, yet not completely solved, problem in the
design and deployment of sensor networks. It is fundamental because sensor


Source: Amir, Yair - Department of Computer Science, Johns Hopkins University


Collections: Computer Technologies and Information Sciences