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Real time indoor positioning system using IEEE 802.15.4a and sensors

IEEE 802.15.4a와 센서를 이용한 실시간 실내위치인식 시스템

  • 조현종 (한국해양대학교 전기전자공학과 대학원) ;
  • 황광일 (한국해양대학교 기게.에너지시스템공학부) ;
  • 노덕수 (경일대학교 전자공학과) ;
  • 서동환 (한국해양대학교 전기전자공학부)
  • Received : 2012.07.19
  • Accepted : 2012.09.07
  • Published : 2012.09.30

Abstract

Bilateration using two fixed nodes has been used in the field of the real time indoor location system in the narrow space such as building or ship passage. However, as the distance between the fixed nodes increases or any obstructions exist in their zone, it is difficult to detect the location of mobile node(user) due to the degradation of its reception ratio. In order to compensate for these problems, this paper presents, based on IEEE 802.15.4a chirp signal, a new real time indoor location system using stride measurement algorithm which can calculate the location through sensors attached to user. The proposed system consists of an ultrasonic sensor to measure the leg length, a geomagnetic sensor to recognize the user's orientation, and an inertial sensor to obtain the angle between the legs. The experimental results are shown that the proposed system has twice or more accurate output compared with conventional indoor location method in the section which is partially out of communication reachability.

고정노드 2개를 사용하는 이변측위 방법은 건물이나 선박의 복도와 같은 좁은 공간에서 실시간 실내위치인식 시스템 분야에 사용되고 있다. 하지만 이러한 공간에서 고정노드 간 거리가 멀어지거나 장애물이 있을 경우 위치정보 수신율 저하로 인하여 이동노드(사용자)의 위치 추정이 어렵게 된다. 본 논문에서는 이와 같은 문제를 보완하기 위하여 IEEE 802.15.4a Chirp 신호를 기반으로 사용자에게 부착된 센서를 통하여 위치를 계산할 수 있는 보폭 측정 알고리즘을 이용하는 새로운 실시간 실내위치인식 시스템을 제안한다. 제안한 시스템은 다리길이 측정을 위한 초음파센서, 사용자의 방향을 인식하는 지자기 센서 및 다리사이 각을 획득하기 위한 관성센서로 구성된다. 실험 결과 제안한 시스템은 통신도달성이 결여된 구간에서 기존 실내위치인식 방법에 비해 2배 이상 정교한 결과를 나타내었다.

Keywords

References

  1. Y.-K. Park, "A high-precision indoor localization technique using ultrasonic and/or IEEE 802.15.4a based bilateration", M.S. Dissertation, Department of Daegu University, Daegu, 2009.
  2. M.-K. Oh, M.-J. Kim, and J.-Y. Kim, "Low data-rate location awareness UWB technology for ubiquitous home" ETRI Journal, vol. 21, no. 5, pp. 30-39, 2006.
  3. K.-Y. Lee, "A study on accuracy enhancement of indoor local positioning system based on Zigbee", The Journal of Korean Institute of Information Technology, vol. 8, no. 5, pp. 85-91, 2010.
  4. N. S. Kim, H. J. Kang, and K. H. Lee, "A study on the location estimation for ubiquitous environment", Proceedings of the 2006 KIIT Summer Conference, pp. 255-259, 2006.
  5. J.-S. Kim, J.-U. Yang, and S.-H. Yang, "A study on the location awareness system using TOA (time of arrival) of CSS (chirp spread spectrum) algorithm", The Journal of The Korea Institute of Intelligent Transport Systems, vol. 7, no. 2, pp. 13-25, 2008.
  6. B.-K. Kim, W.-V. Park, Y.-W. Ko et al., "Indoor positioning system using inertial sensor and cricket", The journal of Korean Institute of Information Technology, vol. 9, no. 5, pp. 17-24, 2011.
  7. S.-K. Park and Y.-S. Suh, "Pedestrian navigation system using inertial sensors and vision", Trans. KIEE, vol. 59, No. 11, 2010
  8. J.-H. Boo, "Motion tracking system using inertial sensors", M.S. Dissertation, Department of Ulsan University, Ulsan, 2011.
  9. H. Hong, J. G. Lee, C. G. Park et al., "A leveling algorithm for an underwater vehicle using extended Kalman filter", Proceeding of the IEEE 1998 Position Location and Navigation Symposium, Palm Springs, California, U.S.A., pp. 280-285, 1998.

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