Passive Optical Identifiers for VLC-Based Indoor Positioning Systems: Design, Hardware Simulation, and Performance Analysis

被引:12
|
作者
Raj, Rishu [1 ]
Saxena, Karan [2 ]
Dixit, Abhishek [1 ]
机构
[1] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi 110016, India
[2] Texas Instruments Inc, Bengaluru 570093, India
来源
IEEE SYSTEMS JOURNAL | 2021年 / 15卷 / 03期
关键词
Indoor positioning system (IPS); optical identification algorithm; passive optical identifiers (OIDs); visible light communication (VLC);
D O I
10.1109/JSYST.2020.3002585
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Indoor positioning systems (IPSs) based on visible light communication (VLC) shall be at the forefront of indoor localization technology in the near future. However, the existing VLC-based IPSs employ active devices that consume power and are costly. We develop a novel VLC-based IPS that circumvents the requirement of active devices by using the proposed optical identification algorithm, thereby enabling the IPS to be highly scalable, robust, energy efficient, inexpensive, and flexible. To implement this algorithm, we use a wavelength-sensitive receiver whose working is validated by hardware simulations. Another novel feature of our work is the design of a passive optical identifier that consists of a unique combination of optical reflectors and is analogous to a radio frequency identifier tag used for identification and tracking of different objects. We present an analysis of several practical aspects related to the physical realization of the proposed IPS, such as system scalability, target mobility, system reliability, algorithmic complexity, and implementation cost. To analyze the system performance, we determine its spatial resolution and the positioning error for different grid sizes. We conclude that the proposed IPS benefits from a low value of positioning error (similar to 2-35 cm) and is also cost efficient.
引用
收藏
页码:3208 / 3219
页数:12
相关论文
共 50 条
  • [1] Implementation and Evaluation of VLC-Based Indoor Positioning Systems for Smart Supermarkets
    Mai, Duc H.
    Pham, Anh T.
    2018 9TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST), 2018, : 273 - 278
  • [2] Design and Performance Evaluation of Large-Scale VLC-Based Indoor Positioning Systems Under Impact of Receiver Orientation
    Mai, Duc H.
    Le, Hoang D.
    Pham, Thanh, V
    Pham, Anh T.
    IEEE ACCESS, 2020, 8 : 61891 - 61904
  • [3] Investigation of Code Division Multiplexing Technique for VLC-Based Indoor Positioning
    Szabo, Gabor
    2015 17TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON), 2015,
  • [4] Hybrid VLC-based Indoor Positioning System for Future Productivity 4.0
    Ma, Yi-Wei
    Chen, Jiann-Liang
    Chen, Ying-Ting
    Hsu, Chia-Chi
    Chuang, Chen-Hao
    2019 20TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD), 2019, : 158 - 161
  • [5] VLC-Based Indoor Positioning Algorithm Combined with OFDM and Particle Filter
    Wang, Jin
    Li, Haoxu
    Zhang, Xiaofeng
    Wu, Rangzhong
    CHINA COMMUNICATIONS, 2019, 16 (01) : 86 - 96
  • [6] VLC-Based Indoor Positioning Algorithm Combined with OFDM and Particle Filter
    Jin Wang
    Haoxu Li
    Xiaofeng Zhang
    Rangzhong Wu
    中国通信, 2019, 16 (01) : 86 - 96
  • [7] Design of a VLC-based Beaconing Infrastructure for Indoor Localization Applications
    Zachar, Gergely
    Vakulya, Gergely
    Simon, Gyula
    2017 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2017, : 1005 - 1010
  • [8] VLC-based Indoor Positioning System with Tracking Capability Using Kalman and Particle Filters
    Ganti, Divya
    Zhang, Weizhi
    Kavehrad, Mohsen
    2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2014, : 478 - 479
  • [9] VLC-Based Positioning System for an Indoor Environment Using an Image Sensor and an Accelerometer Sensor
    Phat Huynh
    Yoo, Myungsik
    SENSORS, 2016, 16 (06)
  • [10] Improved VLC-Based Indoor Positioning System Using a Regression Approach with Conventional RSS Techniques
    Shawky, Sherine
    El-Shimy, Mohamed A.
    El-Sahn, Ziad A.
    Rizk, Mohamed R. M.
    Aly, Moustafa H.
    2017 13TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2017, : 904 - 909