Title :
Robust asynchronous indoor localization using LED lighting
Author :
Kail, Georg ; Maechler, Patrick ; Preyss, Nicholas ; Burg, Andreas
Author_Institution :
Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
Abstract :
We propose a low-cost system for indoor self-localization of mobile devices using modulated LED ceiling lamps that are fully autonomous and broadcast their identifiers without any synchronization. The proposed self-localization method is designed to handle this lack of synchronization as well as the possibility of blocked line-of-sight connections or severe attenuation in real-world environments. This robustness is achieved by applying a suitable Bayesian signal model and by taking into account the inherent sparsity in detecting the concurrently visible lamps. The proposed estimator of the location approximates optimal Bayesian estimation while maintaining low complexity. Simulation results confirm a significant gain in performance compared to a classical matched-filter approach.
Keywords :
Bayes methods; LED lamps; estimation theory; indoor radio; matched filters; mobile handsets; mobility management (mobile radio); optimisation; Bayesian signal model; LED lighting; asynchronous indoor localization; blocked line-of-sight connections; classical matched-filter approach; indoor self-localization; low-cost system; mobile devices; modulated LED ceiling lamps; optimal Bayesian estimation; self-localization method; visible lamps; Complexity theory; Light emitting diodes; Matching pursuit algorithms; Mobile handsets; Synchronization; Vectors; Wireless communication; Indoor localization; LED; VLC; sparse signal recovery; visible light;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6853922