Title :
Online EM for indoor simultaneous localization and mapping
Author :
Dumont, Thierry ; Le Corff, Sylvain
Author_Institution :
Lab. de Math., Univ. Paris-Sud, Orsay, France
Abstract :
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.
Keywords :
Monte Carlo methods; expectation-maximisation algorithm; wireless sensor networks; WiFi access points; indoor simultaneous localization; indoor simultaneous mapping; mobile device localization; online EM; online expectation maximization based algorithm; propagation maps; sequential Monte Carlo methods; wireless sensor networks; Approximation methods; Estimation; Hidden Markov models; IEEE 802.11 Standards; Mobile communication; Monte Carlo methods; Simultaneous localization and mapping; Sequential Monte Carlo methods; Simultaneous localization and mapping; WiFi signal;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638904
