An efficient Monte Carlo approach for optimizing decentralized estimation networks constrained by undirected topologies

We consider a decentralized estimation network subject to communication constraints such that nearby platforms can communicate with each other through low capacity links rendering an undirected graph. After transmitting symbols based on its measurement, each node outputs an estimate for the random v...

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Veröffentlicht in:	2009 IEEE/SP 15th Workshop on Statistical Signal Processing S. 485 - 488
Hauptverfasser:	Uney, M., Cetin, M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2009
Schlagworte:	Bayesian methods communication constrained inference Constraint optimization Costs Decentralized estimation Estimation error Iterative algorithms Message passing message passing algorithms Monte Carlo methods Network topology Random variables random-field estimation Yield estimation
ISBN:	9781424427093, 1424427096
ISSN:	2373-0803
Online-Zugang:	Volltext
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