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퍼지기반 융합 무선위치추정기법

A Fuzzy-based Fusion Wireless Localization Method

  • 투고 : 2015.03.13
  • 심사 : 2015.04.23
  • 발행 : 2015.04.30

초록

거리 측정정보를 사용하는 무선위치추정시스템에서 추정기법으로 반복기법기반 근사해를 주로 많이 사용하고 있으나 지역최소문제 및 계산량을 고려해 대안으로 선형 닫힌 형태의 해가 연구되어 왔다. 그러나 각 닫힌 형태의 해는 별도의 특성을 가진 오차요인을 갖고 있으며 이 문제로 인해 그 사용이 제한되기도 한다. 본 논문에서는 대표적인 두 닫힌 형태의 해를 융합하여 각 해가 갖는 오차요인을 서로 상쇄시키는 기법을 제안한다. 두 해를 융합하기 위한 가중치를 각 오차요인이 갖는 오차 특성 기반 퍼지 기법으로 결정하는 방법을 사용한다. 제안된 기법의 성능은 시뮬레이션 기반으로 검증한다.

In the wireless localization systems using range measurements, iteration method-based approximated solutions have been used. Also, linear closed-form solutions have been investigated in the light of local minimum problem and computational load. However, each closed-form solution has individual error factors that cause usage limit of the solutions. In this paper, a fusion method integrating two representative closed-form solutions is presented. The presented method cancels the error factors of each solution out. Weights for integrating the standalone solutions are determined using the error factors-based fuzzy method. The performance of the proposed method is verified using some simulation results.

키워드

참고문헌

  1. K. W. Kolodziej and J. Hjelm, Local Positioning Systems : LBS Applications and Services. Boca Raton, FL, USA : Taylor & Francis Group, 2006.
  2. J. Yan, C. C. Tiberius, G. J. Janssen, P. J. Teunissen, and G. Bellusci, "Review of rangebased positioning algorithms," Aerospace and Electronic Systems Mag., IEEE, vol. 28, no. 8, Aug., 2013, pp. 2-27. https://doi.org/10.1109/MAES.2013.6516141
  3. K. Yoon, "Improved Localization Algorithm for Ultrasonic Satellite System," J. of the Korea Institute of Electronic Communication Sciences, vol. 6, no. 5, 2011, pp. 775-781.
  4. J. Choe, I. Choy and W. Cho, "Study on the Development of Multi-Agents Position Tracki ng System Using Ultrasonic Transducers," J. of the Korea Institute of Electronic Communicati on Sciences, vol. 8, no. 5, 2013, pp. 725-731. https://doi.org/10.13067/JKIECS.2013.8.5.725
  5. S. Cho and Y. Choi, "Access point-less wireless lo cation method based on peer-to-peer ranging of i mpulse radio ultra-wideband," IET-Radar, Sonar an d Navigation, vol. 4, no. 5, 2010, pp. 733-743. https://doi.org/10.1049/iet-rsn.2009.0157
  6. S. Cho, "Local minimum problem of the ILS method for localizing the nodes in the wireless sensor network and the clue," J. of Institute of Control, Robotics and Systems, vol. 17, no. 10, Oct., 2011, pp. 1059-1066. https://doi.org/10.5302/J.ICROS.2011.17.10.1059
  7. I. Biton, M. Koifman, and I. Y. Bar-Itzhack, "Improved direct solution of the global positioning system equation," J. of Guidance, Control, and Dynamics, vol. 21, no. 1, Jan., 1998, pp. 45-49. https://doi.org/10.2514/2.4195
  8. J. O. Smith and J. S. Abel, "Closed-form least-squares source location estimation from range-difference measurement," IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 35, no. 12, Dec., 1987, pp. 1661-1669. https://doi.org/10.1109/TASSP.1987.1165089
  9. S. Cho and B. Kim, "Linear closed-form solution for wireless localization based on difference of squared range measurements," IET-Wireless Sensor Systems, vol. 3, no. 4, 2013, pp. 255-265. https://doi.org/10.1049/iet-wss.2012.0159
  10. S. Cho, "Hybrid closed-form solution for wireless localization with range measurements," J. of Institute of Control, Robotics and Systems, vol. 19, no. 7, July 2013, pp. 633-639. https://doi.org/10.5302/J.ICROS.2013.12.1852