access icon free Research on visible light indoor positioning technique using two light sources and specular reflection cancellation

Here, a high accuracy camera-based visible light indoor positioning system (IPS) has been investigated. A novel two LEDs-based positioning algorithm is proposed aiming at solving the problems of positioning ambiguity with a good trade-off between high accuracy and computational complexity. The simulation results show that the positioning errors of the proposed 2-LED positioning algorithm achieves 2 cm when the resolution of the image sensor (IS) exceeds 2500 pixels/line. A specular reflection cancellation scheme is presented to further reduce the positioning errors when specular reflection interference occurs. The simulation results show that the positioning errors can be reduced to 2.71 cm after using the specular reflection cancellation.

Inspec keywords: computational complexity; cameras; image sensors; light sources; free-space optical communication; light emitting diodes; indoor communication

Other keywords: visible light indoor positioning technique; LED-based positioning algorithm; high accuracy camera-based visible light indoor positioning system; specular reflection cancellation scheme; specular reflection interference; positioning errors; light sources; image sensor; computational complexity

Subjects: Optical communication devices, equipment and systems; Optical sources and standards; Light emitting diodes; Free-space optical links; Image sensors; Image detectors, convertors, and intensifiers

References

    1. 1)
      • 7. Yang, Z., Fang, J., Lu, T., et al: ‘An efficient visible light positioning method using single LED luminaire’. Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2017 Conf. on. IEEE, Singapore, July 2017, pp. 12.
    2. 2)
      • 2. Zhuang, Y., Syed, Z., Li, Y., et al: ‘Evaluation of two WiFi positioning systems based on autonomous crowdsourcing of handheld devices for indoor navigation’, IEEE Trans. Mob. Comput., 2016, 15, (8), pp. 19821995.
    3. 3)
      • 10. Fang, J., Yang, Z., Long, S., et al: ‘High-speed indoor navigation system based on visible light and mobile phone’, IEEE Photonics J., 2017, 9, (2), pp. 111.
    4. 4)
      • 5. Ghassemlooy, Z., Popoola, W., Rajbhandari, S.: ‘Introduction: optical wireless communication systems’, in Ghassemlooy, Z., Popoola, W., Rajbhandari, S. (Eds.): ‘Optical wireless communications: system and channel modelling with Matlab’ (CRC press, USA, 2012, 1st edn.), pp. 78.
    5. 5)
      • 1. Zhuang, Y., El-Sheimy, N.: ‘Tightly-coupled integration of WiFi and MEMS sensors on handheld devices for indoor pedestrian navigation’, IEEE Sens. J., 2016, 16, (1), pp. 224234.
    6. 6)
      • 11. Pan, W., Hou, Y., Xiao, S.: ‘Visible light indoor positioning based on camera with specular reflection cancellation’. Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2017 Conf. on. IEEE, Singapore, July 2017, pp. 14.
    7. 7)
      • 9. Huynh, P., Yoo, M.: ‘VLC-based positioning system for an indoor environment using an image sensor and an accelerometer sensor’, Sensors, 2016, 16, (6), p. 783.
    8. 8)
      • 13. Hartley, R., Zisserman, A.: ‘Multiple view geometry in computer vision’ (Cambridge University Press, Cambridge, 2003, 1st edn.).
    9. 9)
      • 8. Al-Nassrawi, M., Le-Minh, H., Ghassemlooy, Z., et al: ‘Indoor positioning using single transmitter for visible light communications system’. Visible Light Communications (SACVLC), 2017 First South American Colloquium on. IEEE, Santiago de, Chile, November, 2017, pp. 16.
    10. 10)
      • 3. Zhuang, Y., Yang, J., Li, Y., et al: ‘Smartphone-based indoor localization with bluetooth low energy beacons’, Sensors, 2016, 16, (5), p. 596.
    11. 11)
      • 12. Mmbaga P, F., Thompson, J., Haas, H.: ‘Performance analysis of indoor diffuse VLC MIMO channels using angular diversity detectors’, J. Light Wave Technol., 2016, 34, (4), pp. 12541266.
    12. 12)
      • 14. Gfeller, F, Bapst, U.: ‘Wireless in-house data communication via diffuse infrared radiation, RZ 941 (32513)’, Inf. Syst., 1980, 5, (3), p. 248.
    13. 13)
      • 6. Do T, H., Yoo, M.: ‘An in-depth survey of visible light communication based positioning systems’, Sensors, 2016, 16, (5), p. 678.
    14. 14)
      • 4. Po, Y., Wenyan, W.: ‘Efficient particle filter localisation algorithm in dense passive RFID tags environment’, IEEE Trans. Ind. Electron., 2014, 61, (10), pp. 56415651.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2018.5525
Loading

Related content

content/journals/10.1049/iet-com.2018.5525
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading