Three-Dimensional NLOS VLP Based on a Luminance Distribution Model for Image Sensor

被引:19
作者
Huang, Tianming [1 ]
Lin, Bangjiang [1 ]
Ghassemlooy, Zabih [2 ]
Jiang, Ningcong [1 ]
Lai, Qiwei [1 ]
机构
[1] Chinese Acad Sci, Haixi Inst, Quanzhou Inst Equipment Mfg, Quanzhou 362200, Peoples R China
[2] Northumbria Univ, Fac Engn & Environm, Opt Commun Res Grp, NCRLab, Newcastle Upon Tyne NE1 8ST, England
关键词
Non-line-of-sight (NLOS); optical camera communication (OCC); visible light positioning (VLP); VISIBLE-LIGHT COMMUNICATION; LOCALIZATION; ACCURACY; IOT;
D O I
10.1109/JIOT.2022.3227243
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 article proposes a 3-D 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 IS 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 3-D positioning. To the best of author's knowledge, this is the first work to demonstrate 3-D 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 an NLOS link.
引用
收藏
页码:6902 / 6914
页数:13
相关论文
共 57 条
[1]   Accurate Indoor Visible Light Positioning Using a Modified Pathloss Model With Sparse Fingerprints [J].
Abou-Shehada, Ibrahim M. ;
AlMuallim, Abdullah F. ;
AlFaqeh, AlWaleed K. ;
Muqaibel, Ali H. ;
Park, Ki-Hong ;
Alouini, Mohamed-Slim .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2021, 39 (20) :6487-6497
[2]   Computer Vision-Based Localization With Visible Light Communications [J].
Bai, Lin ;
Yang, Yang ;
Chen, Mingzhe ;
Feng, Chunyan ;
Guo, Caili ;
Saad, Walid ;
Cui, Shuguang .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 21 (03) :2051-2065
[3]  
Butler J. A., 2017, P EARTH OBS SYST, P321
[4]  
Cheema A., 2022, IEEE PHOTON J, V14, P1
[5]   Anti-Shadowing Design of Visible Light Communication and Positioning Systems with Equivalent Virtual Lamps [J].
Chen, Jian ;
Sun, Wenjing ;
Ma, Lingfang ;
Wang, Renzhou .
2020 22ND INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON 2020), 2020,
[6]   High Accuracy, 6-DoF Simultaneous Localization and Calibration Using Visible Light Positioning [J].
Chen, Junye ;
Zeng, Dinghao ;
Yang, Chen ;
Guan, Weipeng .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2022, 40 (21) :7039-7047
[7]  
Chen M., 2021, WIREL COMMUN MOB COM
[8]   Non-line-of-sight optical camera communication aided by a pilot [J].
Chen, Shao-Qi ;
Chi, Xue-Fen ;
Li, Te-Yu .
OPTICS LETTERS, 2021, 46 (14) :3348-3351
[9]  
Cook Robert L, 1982, Computer Graphics, V1, P7, DOI DOI 10.1145/357290.357293
[10]   A Survey of Selected Indoor Positioning Methods for Smartphones [J].
Davidson, Pavel ;
Piche, Robert .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (02) :1347-1370