Online EM for Indoor Simultaneous Localization and Mapping
Résumé
This paper addresses the problem of mobile device localization in wireless sensor networks. The mobile is assumed to receive the signals transmitted byWiFi access points. The localization procedure is performed online (i.e. using the observations acquired by the mobile) and relies on the estimation of the propagation maps of the signal associated with each access point. This intermediate estimation step uses a new online Expectation Maximization based algorithm and Sequential Monte Carlo methods.
Mots clés
Approximation methods
Estimation
expectation-maximisation algorithm
hidden Markov models
IEEE 802.11 Standards
indoor simultaneous localization
indoor simultaneous mapping
Mobile communication
mobile device localization
Monte Carlo methods
online EM
online expectation maximization based algorithm
propagation maps
sequential Monte Carlo methods
Simultaneous localization and mapping
WiFi access points
WiFi signal
wireless sensor networks