Abstract:In this paper a fully decentralized algorithm for indoor wireless localization is presented. The algorithm combines the use of convex and non-convex optimization procedures, nested to achieve better converge towards the best positioning of a multitude of blind wireless nodes. The algorithm proceeds locally on each node, based on the sole knowledge of the measured distances from, and estimated positions of, the connected nodes only. Repeated asynchronous application on each node of the local procedure guarantee… Show more
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