Laser & Optoelectronics Progress, Volume. 56, Issue 16, 160601(2019)

Visible Light Fingerprint-Based High-Accuracy Indoor Positioning Method

Yanping Cao1, Xiaoji Li1,2、*, and Yunyun Hu1
Author Affiliations
  • 1 Key Laboratory of Cognitive Radioand Information Processing, Ministry of Education, School of Informationand Communication, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
  • 2 Guang xi Experiment Center of Information Science, Guilin, Guangxi 541004, China
  • show less
    References(20)

    [1] Zhao J Q, Chi N. Comparative research on several key indoor positioning technologies based on LED visible light communication[J]. Light & Lighting, 39, 34-41(2015).

    [2] Do T H, Yoo M. An in-depth survey of visible light communication based positioning systems[J]. Sensors, 16, 678(2016).

    [3] Jiang Y L. Research on indoor visible light positioning system based on RSSI and image sensor[D]. Nanjing: Nanjing University of Posts and Telecommunications(2014).

    [4] He S Y. Research on key technologies of indoor visible light communication systems[D]. Harbin: Harbin Institute of Technology(2013).

    [5] Wang L. Visible light communication source layout and modulation techniques[D]. Zhengzhou: Zhengzhou University(2016).

    [6] Ding J P. Visible light communications indoor channel modeling & performance optimization[D]. Beijing: Beijing University of Posts and Telecommunications(2013).

    [8] Kim H S, Kim D R, Yang S H et al. An indoor visible light communication positioning system using a RF carrier allocation technique[J]. Journal of Lightwave Technology, 31, 134-144(2013).

    [10] Mousa F I K, Le-Minh H, Ghassemlooy Z et al. . Indoor localization system utilizing two visible light emitting diodes[J]. Optical Engineering, 55, 116114(2016).

    [11] Eroglu Y S, Guvenc I, Pala N et al. AOA-based localization and tracking in multi-element VLC systems. [C]∥2015 IEEE 16th Annual Wireless and Microwave Technology Conference (WAMICON), April 13-15, 2015, Cocoa Beach, FL, USA. New York: IEEE, 15201591(2015).

    [14] Huang G B, Zhou H M, Ding X J et al. Extreme learning machine for regression and multiclass classification[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42, 513-529(2012).

    [15] Breiman L. Random forests[J]. Mach Learning, 45, 5-32(2001).

    [16] Liu H, Darabi H, Banerjee P et al. Survey of wireless indoor positioning techniques and systems[J]. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 37, 1067-1080(2007).

    [18] Saadi M, Ahmad T, Zhao Y et al. An LED based indoor localization system using k-means clustering. [C]∥2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), December 18-20, 2016, Anaheim, CA, USA. New York: IEEE, 246-252(2016).

    [19] Guo X S, Shao S H, Ansari N et al. Indoor localization using visible light via fusion of multiple classifiers[J]. IEEE Photonics Journal, 9, 7803716(2017).

    Tools

    Get Citation

    Copy Citation Text

    Yanping Cao, Xiaoji Li, Yunyun Hu. Visible Light Fingerprint-Based High-Accuracy Indoor Positioning Method[J]. Laser & Optoelectronics Progress, 2019, 56(16): 160601

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Feb. 18, 2019

    Accepted: Mar. 14, 2019

    Published Online: Aug. 5, 2019

    The Author Email: Li Xiaoji (46941917@qq.com)

    DOI:10.3788/LOP56.160601

    Topics