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Distributed Inference for Network Localization Using Radio Interferometric Ranging
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Distributed Inference for Network Localization Using Radio Interferometric Ranging
Dennis Lucarelli1, Anshu Saksena1, Ryan Farrell1, 2 and I-Jeng Wang1
| (1) |
Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, |
| (2) |
Computer Science Department, University of Maryland, College Park, MD, |
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.
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