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 |
---|---|
Format: | Conference item |
Udgivet: |
2006
|
Lignende værker
-
Distributed Online self-localization and tracking in sensor networks
af: Kantas, N, et al.
Udgivet: (2007) -
Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks
af: Kantas, N, et al.
Udgivet: (2012) -
A distributed recursive maximum likelihood implementation for sensor registration
af: Kantas, N, et al.
Udgivet: (2006) -
Simulation-based optimal sensor scheduling with application to observer trajectory planning
af: Singh, S, et al.
Udgivet: (2007) -
An overview of Sequential Monte Carlo methods for parameter estimation in general state-space models
af: Kantas, N, et al.
Udgivet: (2009)