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A diffusion-based em algorithm for distributed estimation in unreliable sensor networks

Autor
Silva, S.; López, R.; Pagès-Zamora, A.
Tipus d'activitat
Article en revista
Revista
IEEE signal processing letters
Data de publicació
2013-01
Volum
20
Número
6
Pàgina inicial
595
Pàgina final
598
DOI
https://doi.org/10.1109/LSP.2013.2260329 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/86785 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6509420 Obrir en finestra nova
Resum
We address the problem of distributed estimation of a parameter from a set of noisy observations collected by a sensor network, assuming that some sensors may be subject to data failures and report only noise. In such scenario, simple schemes such as the Best Linear Unbiased Estimator result in an error floor in moderate and high signal-to-noise ratio (SNR), whereas previously proposed methods based on hard decisions on data failure events degrade as the SNR decreases. Aiming at optimal performa...
Citació
Silva, S., López, R., Pages, A. A diffusion-based em algorithm for distributed estimation in unreliable sensor networks. "IEEE signal processing letters", Gener 2013, vol. 20, núm. 6, p. 595-598.
Paraules clau
Consensus averaging, Diffusion strategies, Distributed estimation, Expectation-maximization, Maximum-likelihood, Sensor networks, Soft detection
Grup de recerca
SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions

Participants