Distributed Inference For Network Localization Using Radio Interferometric Ranging

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.