Research Article
Indoor Localization and Tracking using Posterior State Distribution of Hidden Markov Model
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694657, author={Reda El-Khoribi and Haitham Hamza and Mohamed Hammad}, title={Indoor Localization and Tracking using Posterior State Distribution of Hidden Markov Model}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={localization and tracking estimation theory random walk model wireless networks}, doi={10.1109/ChinaCom.2013.6694657} }- Reda El-Khoribi
Haitham Hamza
Mohamed Hammad
Year: 2013
Indoor Localization and Tracking using Posterior State Distribution of Hidden Markov Model
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694657
Abstract
One of the critical components in the wireless environment is the localization of a mobile user. In this paper, the problem of location estimation and tracking of mobile user in a fixed wireless network is addressed. A strategy is proposed based on indoor propagation model and empirical map of received signal strength distribution. The proposed system models the motion dynamics of a mobile user as a hidden markov model in which each state corresponds to geo-location then tracking the mobile user location using the posterior HMM state distribution. We present experimental results that demonstrate the ability of our tracking system to estimate the user location with a high degree of accuracy
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