한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제21권5호
  • /
  • Pages.583-591
  • /
  • 2018
  • /
  • 1229-7771(pISSN)
  • /
  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
권호 표지
DOI QR코드

DOI QR Code

2개의 이중대역 AP와 스마트폰을 이용한 Wi-Fi LOS 신호 기반의 실내 측위 기법

Wi-Fi Line-of-Sight Signal based Indoor Localization Method Using Smartphone and Two Dual-band APs

  • Jo, Hyeonjeong (Dept. of Electronic Eng., Chungbuk National University) ;
  • An, Hyunseong (Dept. of Electronic Eng., Chungbuk National University) ;
  • Kim, Seungku (Dept. of Electronic Eng., Chungbuk National University)
  • 투고 : 2018.02.01
  • 심사 : 2018.04.03
  • 발행 : 2018.05.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

With the development of ICT(Information and Communication Technology), the number of smart devices is rapidly increasing. LBS(Location Based Service) applications that provide user's location based service are used in various fields. There is also a growing demand for indoor precision positioning technology to provide seamless services. In this paper, we propose an indoor positioning system that estimates the location of a smartphone user. The proposed algorithm determines whether the received signal is LOS(Line-of-Sight) or NLOS(Non-Line of-Sight) in order to decrease multipath effect by the indoor environment. The proposed positioning algorithm is very simple and requires only the AP(Access Point) coordinates. In addition, it requires only two APs for estimating the location of a smartphone user. The proposed algorithm is a practically applicable technology without any additional hardware and kernel modification in the smartphone. In the experiment results, the reliability of the positioning system was found to be within 0.83 m.

키워드

참고문헌

  1. A. Roba, K. Michael, and M.G. Michael, “The Regulatory Considerations and Ethical Dilemmas of Location-Based Services (LBS) A Literature Review,” Information Technology and People, Vol. 27, No. 1, pp. 2-20, 2014. https://doi.org/10.1108/ITP-12-2012-0156
  2. P. Misra and P. Enge, Global Positioning System: Signals, Measurements and Performance Second Edition, Ganga-Jamuna Press, Massachusetts, 2006.
  3. Z. Farid, R. Nordin, and M. Ismail, "Recent Advances in Wireless Indoor Localization Techniques and System," Journal of Computer Networks and Communications, Vol. 2013, pp. 12, 2013.
  4. C. Yang and H. Shao, “WiFi-Based Indoor Positioning,” IEEE Communications Magazine, Vol. 53, No. 3, pp. 150-157, 2015. https://doi.org/10.1109/MCOM.2015.7060497
  5. J. Khodjaev, Y. Park, and A.S. Malik, “Survey of NLOS Identification and Error Mitigation Problems in UWB-Based Positioning Algorithms for Dense Environments,” Annals of Telecommunications-Annales Des Telecommunications, Vol. 65, No. 5-6, pp. 301-311, 2010. https://doi.org/10.1007/s12243-009-0124-z
  6. H.T. Friis, “A Note on a Simple Transmission Formula,” Proceedings of the Investigative Reporters and Editors, Vol. 34, No. 5, pp. 254-256, 1946.
  7. D. Cheung and C. Prettie, A Path Loss Comparison Between the 5 GHz UNI I Band (802.11 a) and the 2.4 GHz ISM Band (802.11 b), Intel Labs Report, 2002.
  8. K. Kim, S.K. Lee, J. Jung, S. Yoo, and H. Kim. "Indoor Wi-Fi Localization with LOS/NLOS Determination Scheme Using Dual-Band AP," Journal of Communications and Networks, Vol. 40, No. 8, pp. 1643-1654, 2015.
  9. S.Y. Seidel and T.S. Rappaport, “914 MHz Path Loss Prediction Models for Indoor Wireless Communications in Multifloored Buildings,” IEEE Transactions on Antennas and Propagation, Vol. 40, No. 2, pp. 207-217, 1992. https://doi.org/10.1109/8.127405
  10. A. Farshad, J. Li, M.K. Marinaa, and F.J. Garcia, "A Microscopic Look at WiFi Fingerprinting for Indoor Mobile Phone Localization in Diverse Environments," Proceeding of Indoor Positioning and Indoor Navigation, pp. 28-31, 2013.
  11. W. Kang and Y. Han, "SmartPDR: Smartphone-Based Pedestrian Dead Reckoning for Indoor Localization," IEEE Sensors Journal, Vol. 15, No. 5, pp. 2906-2916, 2015. https://doi.org/10.1109/JSEN.2014.2382568
  12. J. Chung, M. Donahoe, C. Schmandt, I. Kim, P. Razavai, and M. Wiseman, "Indoor Location Sensing Using Geo-Magnetism," MobiSys '11 Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, pp. 141-154, 2011.
  13. H. Liu, W. Lo, C. Tseng, and H. Shin, “A WiFi-Based Weighted Screening Method for Indoor Positioning Systems,” Wireless Personal Communications, Vol. 79, No. 1, pp. 611-627, 2014. https://doi.org/10.1007/s11277-014-1876-y
  14. J. Park, J. Lee, and S. Kim, "Performance Improvement Algorithm for Wireless Localization Based on RSSI at Indoor Environment," Journal of Korean Institute of Communications and Information Sciences, Vol. 36, No. 4C, pp. 254-264, 2011. https://doi.org/10.7840/KICS.2011.36C.4.254
  15. K. Heurtefeux and F. Valois, "Is RSSI a Good Choice for Localization in Wireless Sensor Network?," Proceeding of Advanced Information Networking and Applications, 2012 IEEE 26th International Conference on IEEE, pp. 732-739, 2012.
  16. N. Brouwers, M. Zuniga, and K. Langendoen. "Incremental Wi-Fi Scanning for Energy-Efficient Localization," Proceeding of Pervasive Computing and Communications, 2014 IEEE International Conference on IEEE, pp. 24-28, 2014.
  17. S. Kwon, S. Lee, K. Kim, and K. Kwo, "Implementation of Location Based Services Using Satellite DMB System," Journal of Korea Multimedia Society, Vol. 15, No. 1, pp. 32-39, 2012. https://doi.org/10.9717/kmms.2012.15.1.032