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시간도래기반 실내 무선측위 시스템을 위한 향상된 위치인식 알고리즘

Improved Localization Algorithms for Indoor TOA-based Wireless Localization System

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초록

We propose a improved localization algorithm for indoor wireless TOA-based localization system. The purpose of the wireless localization system is how to reduce localization error not only in line-of-sight(LOS) but also in non-line-of-sight(NLOS), For reducing localization error, many approaches have been researched. In this paper, we proposed a new approach for reducing localization error. At the same environment, ranging results are not always same. Some factors have an effect on signal propagation and we called these factors biases. We proposed a new method which uses these biases. The simulation results show that a new method makes smaller overlapped area than conventional method and lead to reduce localization error.

Abstract

We propose a improved localization algorithm for indoor wireless TOA-based localization system. The purpose of the wireless localization system is how to reduce localization error not only in line-of-sight(LOS) but also in non-line-of-sight(NLOS), For reducing localization error, many approaches have been researched. In this paper, we proposed a new approach for reducing localization error. At the same environment, ranging results are not always same. Some factors have an effect on signal propagation and we called these factors biases. We proposed a new method which uses these biases. The simulation results show that a new method makes smaller overlapped area than conventional method and lead to reduce localization error.

참고문헌 (8)

  1. S. Wang, "Universal Cooperative Localizer for WSN With Varied Types of Ranging Measurements", IEEE Signal Processing Letters, 24(8), pp.1223~1227 (2017)
  2. Z. Yin, "Peer-to-Peer Indoor Navigation Using Smartphones", IEEE Journal on Selected Areas in Communications, 35(5), pp.1141~1153 (2017)
  3. S. Al-Jazzar, "A scattering model based approach to NLOS mitigation in TOA location systems", IEEE 55th Vehicular Technology Conference, 2, pp.861~865 (2002)
  4. I. Guvenc, "A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques", IEEE Communications Surveys &Tutorials, 11(3), pp.107~124 (2009)
  5. K.W. Cheung, "Least squares algorithms for time-of-arrival-based mobile location", IEEE Transactions on Signal Processing, 52(4), pp.1121~1130 (2004)
  6. I. Guvenc, "Analysis of a Linear Least-Squares Localization Technique in LOS and NLOS Environments", IEEE 65th Vehicular Technology Conference, 1886, pp.1886~1890 (2007)
  7. IEEE Computer Society, "IEEEP802.15.4a", D7 (amendment of IEEE std 802.15.4), part 15.4: wireless medium access control (MAC) and physical layer (PHY)specifications for low-rate wireless personal area networks, 2007
  8. Li Zang, "Robust statistical methods for securing wireless localization in sensor networks", Fourth International Symposium on Information Processing in Sensor Networks, 91, pp.91~98 (2005)

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