An Adaptive Distributed Asynchronous Algorithm with Application to Target Localization
| Autor: | Adii Salim, Rahul Mourya, Cedric Richard, Pascal Bianchi |
|---|---|
| Přispěvatelé: | Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Joseph Louis LAGRANGE (LAGRANGE), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
020301 aerospace & aeronautics
Adaptive algorithm Computer science target localization Approximation algorithm Local variable 020206 networking & telecommunications 02 engineering and technology proximal operator Stochastic approximation 0203 mechanical engineering [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Asynchronous communication stochastic approximation 0202 electrical engineering electronic engineering information engineering Graph (abstract data type) Marine mammals and sonar Index Terms-Adaptive algorithms Algorithm Random variable distributed optimization |
| Zdroj: | International Workshop on Computational Advances in Multi-Sensor Adaptive Processing International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Nov 2017, CURAÇAO, DUTCH ANTILLES, Curaçao. ⟨10.1109/CAMSAP.2017.8313117⟩ CAMSAP |
| DOI: | 10.1109/CAMSAP.2017.8313117⟩ |
| Popis: | International audience; This paper introduces a constant step size adaptive algorithm for distributed optimization on a graph. The algorithm is of diffusion-adaptation type and is asynchronous: at every iteration , some randomly selected nodes compute some local variable by means of a proximity operator involving a locally observed random variable, and share these variable with neighbors. The algorithm is built upon a stochastic version of the Douglas-Rachford algorithm. A practical application to target localization using measurements from multistatic continuous active sonar systems is investigated at length. |
| Databáze: | OpenAIRE |
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