An Indoor Visible Light Positioning System Using Tilted LEDs with High Accuracy

Chaudhary, Neha, Younus, Othman, Alves, Luis Nero, Ghassemlooy, Fary, Zvanovec, Stanislav and Le Minh, Hoa (2021) An Indoor Visible Light Positioning System Using Tilted LEDs with High Accuracy. Sensors, 21 (3). e920. ISSN 1424-8220

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The accuracy of the received signal strength-based visible light positioning (VLP) system in indoor applications is constrained by the tilt angles of transmitters (Txs) and receivers as well as multipath reflections. In this paper, for the first time, we show that tilting the Tx can be beneficial in VLP systems considering both line of sight (LoS) and non-line of sight transmission paths. With the Txs oriented towards the center of the receiving plane (i.e., the pointing center F), the received power level is maximized due to the LoS components on F. We also show that the proposed scheme offers a significant accuracy improvement of up to ~66% compared with a typical non-tilted Tx VLP at a dedicated location within a room using a low complex linear least square algorithm with polynomial regression. The effect of tilting the Tx on the lighting uniformity is also investigated and results proved that the uniformity achieved complies with the European Standard EN 12464-1. Furthermore, we show that the accuracy of VLP can be further enhanced with a minimum positioning error of 8 mm by changing the height of F.

Item Type: Article
Additional Information: Funding information: This research was funded by H2020/MSCA-ITN funding program under the framework of the European Training Network on Visible Light Based Interoperability and Networking, project (VisIoN) grant agreement No 764461. One of the authors (Othman Isam Younus) is funded by the Northumbria University Ph.D. scholarship.
Uncontrolled Keywords: localization, visible light communication, visible light positioning, received signal strength, linear least square, polynomial regression, Tx’s tilting
Subjects: F300 Physics
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 01 Feb 2021 11:10
Last Modified: 31 Jul 2021 16:01

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