Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/30898| Title: | Current trends on visible light positioning techniques |
| Author: | Chaudhary, Neha Alves, Luis Nero Ghassemlooy, Zabih |
| Keywords: | Visible light positioning (VLP) Machine learning Neural networks Modulation schemes |
| Issue Date: | 2019 |
| Publisher: | IEEE |
| Abstract: | This paper presents a survey on visible light positioning techniques. The paper briefly reviews conventional positioning methods based on Rx signal strength (RSS), time difference of arrival (TDOA) and angle of arrival (AOA). Then it focus on the current research trends, relying on the machine learning techniques, sensor fusion and communication requirements. |
| Peer review: | yes |
| URI: | http://hdl.handle.net/10773/30898 |
| DOI: | 10.1109/WACOWC.2019.8770211 |
| ISBN: | 978-1-7281-3768-1 |
| Appears in Collections: | DETI - Capítulo de livro IT - Capítulo de livro |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 08770211.pdf | 772.89 kB | Adobe PDF |  |
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