TY - JOUR
T1 - Three-Dimensional NLOS VLP Based on a Luminance Distribution Model for Image Sensor
AU - Huang, Tianming
AU - Lin, Bangjiang
AU - Ghassemlooy, Zabih
AU - Jiang, Ningcong
AU - Lai, Qiwei
N1 - Funding information: This work was supported in part by Natural Science Foundation of Fujian Province under Grant 2022J01499, in part by EU COST Action NEWFOCUS under Grant CA19111, in part by Science and Technology Program of Quanzhou under Grant 2021C005R, 2020G18, and 2020C069, in part by STS Project of CAS and Fujian Province under Grant 2020T3026, in part by Science and Technology Development Project of Fujian Provincial Department of Housing and Urban-Rural Development under Grant 2022K52, in part by State Key Laboratory of Advanced Optical Communication Systems and Networks, China.
PY - 2023/4/15
Y1 - 2023/4/15
N2 - Visible light positioning (VLP) is playing a critical role in delivering better location-based services. However, traditional VLP systems rely on line-of-sight (LOS) paths and have a requirement for large numbers of light-emitting diodes (LEDs) and sensors, making them unprepared for various scenarios. This paper proposes a three-dimensional (3D) non-line-of-sight (NLOS) VLP system using a single LED and an image sensor (IS) to address the problem of obstructed LOS paths. On the one hand, an optical camera communication (OCC) subsystem is designed to receive the transmitter’s position based on NLOS links. In contrast, two highlights are visible in the picture when the image sensor captures the reflected light from the floor. Using the proposed luminance distribution model (LDM), it can be demonstrated that the two highlights can be regarded as the projections formed by two virtual LEDs. Based on the projection equations of the two virtual LEDs, an image sensing algorithm can estimate the receiver’s position. Experimental results show that the proposed system can achieve a 90th percentile accuracy of < 22 cm for 3D positioning. To the best of author’s knowledge, this is the first work to demonstrate 3D NLOS VLP using just a single LED and an IS. Additionally, the proposed LDM is the first physically based model for the first reflected light to estimate the channel gain of a NLOS link.
AB - Visible light positioning (VLP) is playing a critical role in delivering better location-based services. However, traditional VLP systems rely on line-of-sight (LOS) paths and have a requirement for large numbers of light-emitting diodes (LEDs) and sensors, making them unprepared for various scenarios. This paper proposes a three-dimensional (3D) non-line-of-sight (NLOS) VLP system using a single LED and an image sensor (IS) to address the problem of obstructed LOS paths. On the one hand, an optical camera communication (OCC) subsystem is designed to receive the transmitter’s position based on NLOS links. In contrast, two highlights are visible in the picture when the image sensor captures the reflected light from the floor. Using the proposed luminance distribution model (LDM), it can be demonstrated that the two highlights can be regarded as the projections formed by two virtual LEDs. Based on the projection equations of the two virtual LEDs, an image sensing algorithm can estimate the receiver’s position. Experimental results show that the proposed system can achieve a 90th percentile accuracy of < 22 cm for 3D positioning. To the best of author’s knowledge, this is the first work to demonstrate 3D NLOS VLP using just a single LED and an IS. Additionally, the proposed LDM is the first physically based model for the first reflected light to estimate the channel gain of a NLOS link.
KW - Cameras
KW - Floors
KW - Light emitting diodes
KW - Mathematical models
KW - Nonlinear optics
KW - Reflection
KW - Three-dimensional displays
KW - non-line-of-sight (NLOS)
KW - optical camera communication (OCC)
KW - visible light positioning (VLP)
UR - http://www.scopus.com/inward/record.url?scp=85144775186&partnerID=8YFLogxK
U2 - 10.1109/jiot.2022.3227243
DO - 10.1109/jiot.2022.3227243
M3 - Article
VL - 10
SP - 6902
EP - 6914
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
SN - 2327-4662
IS - 8
ER -