Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks

Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks

We show that the sensor self-localization problem can be cast as a static parameter estimation problem for Hidden Markov Models and we implement fully decentralized versions of the Recursive Maximum Likelihood and on-line Expectation-Maximization algorithms to localize the sensor network simultaneou...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Kantas, N, Singh, S, Doucet, A
Format:	Journal article
Język:	English
Wydane:	2012

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