Deep Learning Based Positioning Scheme for Single UAV-Assisted VLC Systems
In this paper, we propose a novel deep learning based visible light positioning (VLP) scheme with unmanned aerial vehicle (UAV) motion and hover assistance. Simulation results demonstrate that the proposed scheme outperforms traditional positioning methods.
Authors
- Xinke Tang (ORCID: https://orcid.org/0000-0002-5653-6096)
- Xiaoping Zhang (ORCID: https://orcid.org/0000-0003-0995-4989)
- Zongyao Zhao (ORCID: https://orcid.org/0000-0002-1910-1640)
- Yuhan Dong (ORCID: https://orcid.org/0000-0001-5275-1787)
- Jiawei Hu
Institutions
- University Town of Shenzhen (CN)
- Peng Cheng Laboratory (CN)
- Tsinghua University (CN)
Publication Details
- Published
- 2024-08-04
- DOI
- https://doi.org/10.1109/cleo-pr60912.2024.10676535
- Citations
- 1
- Primary Topic
- Optical Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.21
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province