Skip to main content
SpringerLink
Log in

Target Localization with Visible Light Communication in High Ambient Light Environments

  • Conference paper
  • First Online:
Advances in Information and Communication (FICC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1129))

Included in the following conference series:

  • 970 Accesses

Abstract

This paper builds on prior research that demonstrated how inexpensive commercial off-the-shelf lighting components and microcontrollers could be used to construct a solution for occupant and asset localization and tracking through visible light communication (VLC). A significant challenge encountered in the prior work was mitigating the effect of ambient light optical interference. This paper describes the implementation of several techniques to negate the effect of ambient light interference under varying conditions. The techniques involved modifications to the modulation scheme employed, redundant transmissions over multiple wavelengths, and an adaptive digital filtering technique. Furthermore, this paper discusses the challenges involved with implementation the approach on a severely resource constrained microcontroller and the optimization strategies employed. The overall effectiveness of the system is measured and discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. How Much Energy is Used for Lighting. EIA. http://www.eia.gov/tools/faqs/faq.cfm?id=99&t=3

  2. Nyarko, K., Emiyah, C., Mbugua, S.: Building occupant and asset localization and tracking using visible light communication. In: Proceedings of the SPIE, Automatic Target Recognition XXVI, vol. 9844, pp. 98440B, 12 May 2016. https://doi.org/10.1117/12.2224089

  3. Bahl, P., Padmanabhan, V.N.: RADAR: an in-building RF-based user location and tracking system. In: Proceedings of the IEEE INFOCOM 2000, March, vol. 2, pp. 775–784 (2000)

    Google Scholar 

  4. Yang, Y., Chen, X., Lin, Z., Liu, B., Chen, H.D.: Design of indoor wireless communication system using LEDs. In: Communications and Photonics Conference and Exhibition (ACP), Asia, vol. 2009, pp. 1–2, 2–6 November 2009

    Google Scholar 

  5. Yánez, V.G., Torres, J.R., Alonso, J.B., Borges, J.A.R., Sánchez, C.Q., González, C.T., Jiménez, R.P., Rajo, F.D.: Illumination interference reduction system for VLC Communications. In: Proceedings of the WSEAS International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems, pp. 252–257 (2009)

    Google Scholar 

  6. Liu, Y.F., Yeh, C.H., Wang, Y.C., Chow, C.W.: Employing NRZI code for reducing background noise in LED visible light communication. In: 18th OptoElectronics and Communications Conference Held Jointly with International Conference on Photonics in Switching (2013)

    Google Scholar 

  7. Gour, S., Murarka, S., Kumar, S.: Review on reduction of optical background noise in light-emitting diode (LED) optical wireless communication systems using Hadamard error correcting code. Intern. J. Emerg. Technol. Adv. Eng. 4(9), 233–235 (2014). ISSN 2250-2459, ISO 9001:2008 Certified Journal

    Google Scholar 

  8. Yang, S.-H., Kim, H.-S., Son, Y.-H., Han, S.-K.: Reduction of optical interference by wavelength filtering in RGB-LED based indoor VLC system. In: Proceedings of the 16th Opto-Electronics and Communication Conference, OECC, pp. 551–552, July 2011

    Google Scholar 

  9. Rufo, J., Quintana, C., Delgado, F., Rabadan, J., Perez-Jimenez, R.: Considerations on modulations and protocols suitable for visible light communications (VLC) channels: low and medium baud rate indoor visible light communications links. In: 2011 IEEE Consumer Communications and Networking Conference (CCNC), pp. 362–364, 9–12 January 2011

    Google Scholar 

  10. Lo, B.P.L., Velastin, S.A.: Automatic congestion detection system for underground platforms. In: International Symposium on Intelligent Multimedia, Video and Speech Processing, pp. 158–161 (2000)

    Google Scholar 

  11. Cucchiara, R., Grana, C., Piccardi, M., Prati, A.: Detecting moving objects, ghosts and shadows in video streams. IEEE Trans. Pattern Anal. Mach. Intell. 25(10), 1337–1342 (2003)

    Article  Google Scholar 

  12. Oliver, N.M., Rosario, B., Pentland, A.P.: A Bayesian computer vision system for modeling human interactions. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 831–843 (2000)

    Article  Google Scholar 

  13. Stauffer, C., Grimson, W.E.L.: Adaptive background mixture modelsfor real-time tracking. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 246–252 (1999)

    Google Scholar 

  14. Dong, W.T., Soh, Y.S.: Image-based fraud detection in automatic teller machine. Int. J. Comput. Sci. Netw. Secur. (IJCSNS) 6(11), 13–18 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Morgan State University, 1700 East Cold Spring Ln., Baltimore, MD, 21251, USA

    Kofi Nyarko

  2. Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA

    Emmanuel Shedu

Authors
  1. Kofi Nyarko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Emmanuel Shedu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kofi Nyarko .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nyarko, K., Shedu, E. (2020). Target Localization with Visible Light Communication in High Ambient Light Environments. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication. FICC 2020. Advances in Intelligent Systems and Computing, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-39445-5_34

Download citation

Publish with us

Policies and ethics

Search

Navigation