Robust Asynchronous Indoor Localization Using Led Lighting

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.


Published in:
2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)
Presented at:
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, ITALY, MAY 04-09, 2014
Year:
2014
Publisher:
New York, IEEE
ISSN:
1520-6149
ISBN:
978-1-4799-2893-4
Keywords:
Laboratories:




 Record created 2014-12-30, last modified 2018-03-17


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