Distributed self localisation of sensor networks using particle methods
We describe how a completely decentralized version of Recursive Maximum Likelihood (RML) can be implemented in dynamic graphical models through the propagation of suitable messages that are exchanged between neighbouring nodes of the graph. The resulting algorithm can be interpreted as a generalizat...
Main Authors: | Kantas, N, Singh, S, Doucet, A |
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פורמט: | Conference item |
יצא לאור: |
2006
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פריטים דומים
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Distributed Online self-localization and tracking in sensor networks
מאת: Kantas, N, et al.
יצא לאור: (2007) -
Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks
מאת: Kantas, N, et al.
יצא לאור: (2012) -
A distributed recursive maximum likelihood implementation for sensor registration
מאת: Kantas, N, et al.
יצא לאור: (2006) -
Simulation-based optimal sensor scheduling with application to observer trajectory planning
מאת: Singh, S, et al.
יצא לאור: (2007) -
An overview of Sequential Monte Carlo methods for parameter estimation in general state-space models
מאת: Kantas, N, et al.
יצא לאור: (2009)