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Beacon-Based Indoor Location Measurement Method to Enhanced Common Chord-Based Trilateration

  • Kwak, Jeonghoon (Dept. of Multimedia Engineering, Dongguk University) ;
  • Sung, Yunsick (Dept. of Multimedia Engineering, Dongguk University)
  • Received : 2017.07.03
  • Accepted : 2017.09.07
  • Published : 2017.12.31

Abstract

To make an unmanned aerial vehicle (UAVs) fly in indoor environments, the indoor locations of the UAV are required. One of the approaches to calculate the locations of an UAV in indoor environments is enhanced trilateration using one Bluetooth-based beacon and three or more access points (APs). However, the locations of the UAV calculated by the common chord-based trilateration has errors due to the distance errors of the beacon measured at the multiple APs. This paper proposes a method that corrects the errors that occur in the process of applying the common chord-based trilateration to calculate the locations of an UAV. In the experiments, the results of measuring the locations using the proposed method in an indoor environment was compared and verified against the result of measuring the locations using the common chord-based trilateration. The proposed method improved the accuracy of location measurement by 81.2% compared to the common chord-based trilateration.

Keywords

References

  1. P. G. Fahlstrom and T. J. Gleason, Introduction to UAV Systems, Hoboken, NJ: Wiley, 2012.
  2. S. T. Moon, D. H. Cho, and S. H. Han, "Image-based localization recognition system for indoor autonomous navigation," Aerospace Engineering and Technology, vol. 12, vo. 1, pp. 128-136, 2013.
  3. H. C. Lee and D. M. Lee, "A study on localization system using 3D triangulation algorithm based on dynamic allocation of beacon node," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 4, pp. 378-385, 2001.
  4. J. H. Sohn and G. H. Hwang, "Development of position awareness algorithm using improved trilateration measurement method," Journal of the Korea Institute of Information and Communication Engineering, vol. 17, no. 2, pp. 473-480, 2013. https://doi.org/10.6109/jkiice.2013.17.2.473
  5. H. C. Lee and D. M. Lee, "The 3-dimensional localization system based on beacon expansion and coordinate-space disassembly," The Journal of Korean Institute of Communications and Information Sciences, vol. 38B, no. 1, pp. 80-86, 2013. https://doi.org/10.7840/kics.2013.38B.1.80
  6. J. Kwak, H. Jang, Y. Sung, and Y. S. Jeong, "Improved location estimation method of trilateration in ubiquitous computing indoor environment," in Advances in Computer Science and Ubiquitous Computing. Singapore: Springer, 2015, pp. 165-169.
  7. H. Liu, H. Darabi, P. Banerjee, and J. Liu, "Survey of wireless indoor positioning techniques and systems," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 37, no. 6, pp. 1067-1080, 2007. https://doi.org/10.1109/TSMCC.2007.905750
  8. P. Bahl and V. N. Padmanabhan, "RADAR: an in-building RF-based user location and tracking system," in Proceedings of 19th Annual Joint Conference of the IEEE Computer and Communications Societies, Tel Aviv, Israel, 2000, pp. 775-784.
  9. Y. Chen and H. Kobayashi, "Signal strength based indoor geolocation," in Proceedings of IEEE International Conference on Communications, 2002 (ICC 2002), New York, NY, 2002, pp. 436-439.
  10. C. Feng, W. S. A. Au, S. Valaee, and Z. Tan, "Received-signal-strength-based indoor positioning using compressive sensing," IEEE Transactions on Mobile Computing, vol. 11, no. 12, pp. 1983-1993, 2012. https://doi.org/10.1109/TMC.2011.216
  11. Y. Sung and J. Kwak, "Real-time Beacon distance revision method in indoor environment," Advanced Science and Technology Letters, vol. 106, pp. 69-72, 2015.
  12. Y. Sung, J. Kwak, Y. S. Jeong, and J. H. Park, "Beacon distance measurement method in indoor ubiquitous computing environment," in Advances in Parallel and Distributed Computing and Ubiquitous Services. Singapore: Springer, 2016, pp. 125-130.

Cited by

  1. Ephemeral ID Beacon-Based Improved Indoor Positioning System vol.10, pp.11, 2018, https://doi.org/10.3390/sym10110622