A Distributed and Maximum-Likelihood Sensor Network Localization Algorithm Based Upon a Nonconvex Problem Formulation
Published in IEEE Transactions on Signal and Information Processing over Networks • Sep 28, 2015
NobleIDNI1P22W97R26S78
Authors:
Tomaso Erseghe
Abstract
We propose a distributed algorithm for sensor network localization, which is based upon a decomposition of the nonlinear nonconvex maximum likelihood (ML) localization problem. Decomposition and coordination are obtained by applying the alternating direction method of multipliers (ADMM), to provide ...
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