DOI QR코드

DOI QR Code

Implementation of Indoor Localization System

  • Ryu, Dong-Wan (Dept. of Information and Communications Eng., Soonchunhyang University) ;
  • Kim, Sun-Hyung (Dept. of Information and Communications Eng., Soonchunhyang University) ;
  • Jeong, Dong-Gyu (Dept. of IT and Electronics Eng., Woosuk University)
  • 투고 : 2019.07.05
  • 심사 : 2019.07.13
  • 발행 : 2019.09.30

초록

In this paper, a localization system for indoor objects is proposed. The proposed system consists of Beacons, LED Cells, Main Cell Controller (MCC), and Display. A Beacon is attached at each indoor object, and each LED cell has Beacon Scanner and VLC Transmitter. The Visual Light Communications (VLC) and Power Line Communications (PLC) methods are used to communicate the signals for localization of indoor objects. And the proposed system is designed, and implemented as a prototype. To certify that our propose d system can exactly localize a given indoor object, we take test for the implemented system as a p rototype. Here the location of the given indoor object is known. Test is done in two ways. The first is to check the operation of the detail of the system, and the second is the position recognition of i ndoor object. The second is the test of the implemented system to correctly detect the location of the indoor object with Beacon, while the object with Beacon is moved from location C to A. The experimental result shows that the system is exactly detect the moving locations. The system has the advantages of using previously installed power lines, and it does not need to use LAN lines or optical cables. The proposed system is usefully applied to indoor object localization area.

키워드

참고문헌

  1. Zeynep Turguta, Gulsum Zeynep Gurkas Aydinb, and Ahmet Sertbasa, "Indoor Localization Techniques for Smart Building Environment," in Proc. of The 7th International Conference on Ambient Systems, Networks and Technologies, pp. 1176 - 1181, Madrid, Spain, May 23 -26, 2016.
  2. Hakan Temeltas, "A REAL-TIME LOCALIZATION METHOD FOR AGVS IN SMART FACTORIES," International Scientific Journal, Vol. 7, pp. 45 - 50, June 2018.
  3. Yehui Liu, "Study on Smart Home System Based on Internet of Things Technology," in Informatics and Management Science IV, Springer, pp. 73 - 81, 2012.
  4. The Institute of Internet, Sources of Errors in GPS and their Correction. https://www.aboutcivil.org/sources-oferrors-in-gps.html.
  5. Yong Jiang, You Xiang Cui, and Bu Feng Li, "Study on Differential GPS (DGPS): Method for Reducing the Measurement Error of CNNS," Advanced Composite Materials , Vol. 482, pp. 75-80, February 2012.
  6. M. S. Bos, R. M. S. Fernandes, S. D. P. Williams, and L. Bastos, "Fast error analysis of continuous GPS observations," Journal of Geodesy, Vol. 82, No. 3, pp. 57-166, March 2008.
  7. Chansik Park, "An Error Analysis of GPS Positioning," Journal of Institute of Control, Vol 7, No. 6, pp. 24-29, January 2001.
  8. Xinrong Li, "Collaborative Localization with Received-Signal Strength in Wireless Sensor Networks," IEEE Transactions on Vehicular Technology, Vol.56, No. 6, pp. 3807-3817, November 2007. https://doi.org/10.1109/TVT.2007.904535
  9. S.-H. Yang, E.-M. Jung, and S.-K. Han, "Indoor Location Estimation Based on LED Visible Light Communication Using Multiple Optical Receivers," IEEE Communications Letters, Vol. 17, No. 9, pp. 1834-1837, September 2013. https://doi.org/10.1109/LCOMM.2013.070913.131120
  10. S.-Y. Jung, S. Hann, and C.-S. Park, "TDOA-based optical wireless indoor localization using LED ceiling lamps," IEEE Transactions on Consumer Electronics, Vol. 57, No. 4, pp. 1592-1597, April 2011. https://doi.org/10.1109/TCE.2011.6131130