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Parameter estimation in wireless sensor networks with faulty transducers: a distributed EM approach

Autor
Silva, S.; López, R.; Pages, A.
Tipus d'activitat
Article en revista
Revista
Signal processing
Data de publicació
2018-03-01
Volum
144
Pàgina inicial
226
Pàgina final
237
DOI
https://doi.org/10.1016/j.sigpro.2017.10.012 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/112095 Obrir en finestra nova
URL
https://www.sciencedirect.com/science/article/pii/S0165168417303717 Obrir en finestra nova
Resum
We address the problem of distributed estimation of a vector-valued parameter performed by a wireless sensor network in the presence of noisy observations which may be unreliable due to faulty transducers. The proposed distributed estimator is based on the Expectation-Maximization (EM) algorithm and combines consensus and diffusion techniques: a term for information diffusion is gradually turned off, while a term for updated information averaging is turned on so that all nodes in the network app...
Paraules clau
Consensus Averaging, Diffusion Strategies, Distributed Estimation, Expectation-maximization, Maximum-likelihood, Soft Detection, Wireless Sensor Networks.
Grup de recerca
SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions

Participants