Talks and Poster Presentations (with Proceedings-Entry):
G. Kail, P. Maechler, N. Preyss, A. Burg:
"Robust asynchronous indoor localization using LED lighting";
Poster: IEEE International Conference on Speech, Acoustics, and Signal Processing 2014 (ICASSP 2014),
- 05-09-2014; in: "IEEE International Conference on Acoustics, Speech, and Signal Processing, 2014. ICASSP 2014.",
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.
Indoor localization, visible light, VLC, LED, sparse signal recovery
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.