Node localization based on distributed constrained optimization using Jacobi's method

@article{Ferraz2017NodeLB,
  title={Node localization based on distributed constrained optimization using Jacobi's method},
  author={Henrique Ferraz and Amr Alanwar and Mani B. Srivastava and Jo{\~a}o Pedro Hespanha},
  journal={2017 IEEE 56th Annual Conference on Decision and Control (CDC)},
  year={2017},
  pages={3380-3385}
}
We consider the spatial localization of nodes in a network, based on measurements of their relative position with respect to their neighbors. [] Key Method Under appropriate assumptions, it is shown that the maximum likelihood estimates are locally asymptotically stable equilibrium points of the proposed algorithm. As a case study, we consider a range-based localization problem and present simulation results to evaluate the algorithm.
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