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...
المؤلفون الرئيسيون: | Kantas, N, Singh, S, Doucet, A |
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التنسيق: | Conference item |
منشور في: |
2006
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مواد مشابهة
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Distributed Online self-localization and tracking in sensor networks
حسب: Kantas, N, وآخرون
منشور في: (2007) -
Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks
حسب: Kantas, N, وآخرون
منشور في: (2012) -
A distributed recursive maximum likelihood implementation for sensor registration
حسب: Kantas, N, وآخرون
منشور في: (2006) -
Simulation-based optimal sensor scheduling with application to observer trajectory planning
حسب: Singh, S, وآخرون
منشور في: (2007) -
An overview of Sequential Monte Carlo methods for parameter estimation in general state-space models
حسب: Kantas, N, وآخرون
منشور في: (2009)