Location Determination Scheme based on Proximity Position Data of a Target

목표물에 근접한 위치데이터를 사용한 2차원 위치추정방법

  • 김덕기 (충북대학교 정보통신공학과) ;
  • 김승열 (충북대학교 정보통신공학과) ;
  • 이상진 (충북대학교 정보통신공학과) ;
  • 유영갑 (충북대학교 정보통신공학과)
  • Published : 2010.01.28


This paper describes an improved location determination scheme based on the triangulation method calculating a target position. The proposed scheme uses coordinates of intersection points of three circles each generated by measurement of an observer. The target position obtained from the proposed scheme has higher accuracy not only at the vicinity, but also at the periphery of the observation area. The maximum error and the average error with the proposed scheme are reduced by 40.89% and 40.30%, respectively, with respect to conventional methods.


Triangulation;Localization;Location Determination Scheme


  1. G. P. Yost and S. Panchapakesan, “Automatic location identification using a hybrid technique,” IEEE 48th Vehicular Technology Conf., VTC98, Vol.1, pp.264-267, 1998(5).
  2. T. Klenine-Ostmannand and E. A. Bell, “A data fusion architecture for enhanced position estimation in wireless networks,” IEEE Commun. Lett., Vol.5, No.8, pp.343-345, 2002(7).
  3. S. Venkatraman and J. Caffery. Jr. “Hybrid TOA/AOA techniques for mobile location in non-line-of-sight environments,” IEEE Wireless Commun. Networking Conf., Vol.1, 21-25, pp.274-278, 2004(3).
  4. J. J. Caffery and G. L. Stuber, “Overview of radiolocation in CDMA systems,” IEEE Commun. Mag., Vol.36, No.4, pp.38-45, 1998(4).
  5. J. J. Caffery, Wireless Location in CDMA Cellular Radio Systems, Norwell, MA : Kluwer, 1999.
  6. C. D. Wann and Y. M. Chen, “Position tracking and velocity estimation for mobile positioning systems,” The 5th International Symposiumon Wireless Personal Multimedia Commu. Conf. 2002, Vol.1, pp.239-244, 2005(10).
  7. P. J. Voltz and D. Hernandez, “Maximum likelihood time of arrival estimation for real-tile physical location tracking of 802.11a/g mobile stations in indoor environments,” IEEE Position Location and Navigation Symposium 2004, pp.585-591, 2004.
  8. C. D. Wann, Y. M. Chen, and M. S. Lee, “Mobile location tracking with NLOS error mitigation,” IEEE Global Telecommunications Conf. 2002, pp.1688-1692, 2002.
  9. S. -S. Woo, H. R. You, and J. -S. Koh, “The NLOS mitigation technique for position location using IS-95 CDMA networks,” IEEE VTC-Fall 2000, Vol.4, pp.2556-2560, 2000(9).
  10. Y. Qi, H. Kobayashi, and H. Suda, “Analysis of wireless geolocation in a non-line-of-sight environment,” IEEE Trans. Wireless Commun., Vol.5, No.3, pp.672-681, 2003(3).
  11. S. Al-Jazzar and J. J. Caffery, “NLOS mitigation method for urban environments,” IEEE 60th Vehicular Technology Conf. 2004, Vol.7, pp.5112-5115, 2004.
  12. S. Venkatraman, J. Caffery, and H. –R. You, “A novel TOA location algorithm using LOA range estimation for NLOS environments,” IEEE trans. Veh. Technol., Vol.53, No.5, pp.1515-1524, 2004(9).
  13. S. Al-Jazzar, J. J. Caffery, and H. –R. You, “Scattering model based methods for TOA location in NLOS environments,” IEEE Trans. Veh. Technol., Vol.56, No.2, pp.583-593, 2007(3).
  14. C. Ma, R. Klukas, and G. Lachapelle, “A non-line-of-sight error mitigation method for TOA measurements,” IEEE Trans. Veh. Technol., Vol.56, No.2, pp.641-651, 2007(3).
  15. J. J. Caffery, “A new approach to the geometry of TOA location,” IEEE Conf. Veh. Technol. Conf. 2000, pp.1943-1949, 2000.
  16. M. Porretta, P. Nepa, G. Manara, F. Giannetti, M. Dohler, B. Allen, and A. H. Aghvami, “A novel single base station location technique for microcellular wireless networks: Description and validation by a deterministic propagation model,” IEEE Trans. Veh. Technol., Vol.53, No.5, pp.1502-1514, 2004(9).
  17. M. Porretta, P. Nepa, G. Manara, and F. Giannetti, "Location, location, location," IEEE Trans. Veh. Technol. Mag., Vol.3, No.2, pp.20-29, 2008(6).
  18. H. J. Kim, G. T. Kang, and W. C. Lee, "Indoor location estimation and navigation of mobile robots based on wireless sensor network and fuzzy modeling," Korean Institute of Intelligent Systems, Vol.18, No.2, pp.163-168, 2008(4)