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International Journal of Distributed Sensor Networks
Volume 2013 (2013), Article ID 208904, 9 pages
http://dx.doi.org/10.1155/2013/208904
Research Article

Indoor Mobile Localization in Wireless Sensor Network under Unknown NLOS Errors

1College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
2Faculty of Engineering & Information Technologies, University of Sydney, NSW 2006, Australia

Received 17 November 2012; Accepted 12 December 2012

Academic Editor: Shuai Li

Copyright © 2013 Long Cheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics, MIT Press, Cambridge, Mass, USA, 2005.
  2. W. Li and Y. Jia, “Location of mobile station with maneuvers using an IMM-based cubature Kalman filter,” IEEE Transactions on Industrial Electronics, vol. 59, no. 11, pp. 4338–4348, 2012. View at Publisher · View at Google Scholar
  3. P.-C. Chen, “A non-line-of-sight error mitigation algorithm in location estimation,” in Proceedings of the Wireless Communication and Networking Conference, vol. 1, pp. 316–320, 1999. View at Publisher · View at Google Scholar
  4. Q. H. Wang, I. Balasingham, M. M. Zhang, and X. Huang, “Improving RSS-based ranging in LOS-NLOS scenario using GMMs,” IEEE Communications Letters, vol. 15, no. 10, pp. 1065–1067, 2011. View at Publisher · View at Google Scholar
  5. C. D. Wann and H. Y. Lin, “Hybrid TOA/AOA estimation error test and non-line of sight identification In wireless location,” Wireless Communications & Mobile Computing, vol. 9, no. 6, pp. 859–873, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. L. Cong and W. Zhuang, “Nonline-of-sight error mitigation in mobile location,” IEEE Transactions on Wireless Communications, vol. 4, no. 2, pp. 560–573, 2005. View at Publisher · View at Google Scholar · View at Scopus
  7. İ. Güvenç, C.-C. Chong, F. Watanabe, and H. Inamura, “NLOS identification and weighted least-squares localization for uwb systems using multipath channel statistics,” EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 271984, 14 pages, 2008. View at Publisher · View at Google Scholar
  8. S. Venkatraman, J. Caffery, and H. R. You, “A novel ToA location algorithm using LoS range estimation for NLoS environments,” IEEE Transactions on Vehicular Technology, vol. 53, no. 5, pp. 1515–1524, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Venkatesh and R. M. Buehrer, “Non-line-of-sight identification in ultra-wideband systems based on received signal statistics,” IET Microwaves, Antennas & Propagation, vol. 1, no. 6, pp. 1120–1130, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. J. F. Liao and B. S. Chen, “Robust mobile location estimator with NLOS mitigation using interacting multiple model algorithm,” IEEE Transactions on Wireless Communications, vol. 5, no. 11, pp. 3002–3006, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. B. S. Chen, C. Y. Yang, F. K. Liao, and J. F. Liao, “Mobile location estimator in a rough wireless environment using extended Kalman-based IMM and data fusion,” IEEE Transactions on Vehicular Technology, vol. 58, no. 3, pp. 1157–1169, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. C. Y. Yang, B. S. Chen, and F. K. Liao, “Mobile location estimation using fuzzy-based IMM and data fusion,” IEEE Transactions on Mobile Computing, vol. 9, no. 10, pp. 1424–1436, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. U. Hammes and A. M. Zoubir, “Robust MT tracking based on M-estimation and interacting multiple model algorithm,” IEEE Transactions on Signal Processing, vol. 59, no. 7, pp. 3398–3409, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. W. Li and Y. Jia, “Location of mobile station with maneuvers using an IMM-based cubature Kalman filter,” IEEE Transactions on Industrial Electronics, vol. 59, no. 11, pp. 4338–4348, 2012. View at Publisher · View at Google Scholar
  15. W. Ke and L. Wu, “Mobile location with NLOS identification and mitigation based on modified Kalman filtering,” Sensors, vol. 11, no. 2, pp. 1641–1656, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Nájar and J. Vidal, “Kalman tracking for mobile location in NLOS situations,” in Proceedings of the 14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '03), pp. 2203–2207, Beijing, China, September 2003. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Chen and L. Wu, “Mobile positioning in mixed LOS/NLOS conditions using modified EKF banks and data fusion method,” IEICE Transactions on Communications, vol. E92-B, no. 4, pp. 1318–1325, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. J. M. Huerta, J. Vidal, A. Giremus, and J.-Y. Tourneret, “Joint particle filter and UKF position tracking in severe non-line-of-sight situations,” IEEE Journal of Selected Topics in Signal Processing, vol. 3, no. 5, pp. 874–888, 2009. View at Publisher · View at Google Scholar
  19. M. . Boccadoro, G. De Angelis, and P. Valigi, “TDOA positioning in NLOS scenarios by particle filtering,” Wireless Networks, vol. 18, no. 5, pp. 579–589, 2012. View at Publisher · View at Google Scholar
  20. W. Wu and F. Zhang, “Robust cooperative exploration with a switching strategy,” IEEE Transactions on Robotics, vol. 28, no. 4, pp. 828–839, 2012. View at Publisher · View at Google Scholar
  21. F. Yang, Z. Wang, S. Lauria, and X. Liu, “Mobile robot localization using robust extended H filtering,” Proceedings of the Institution of Mechanical Engineers. Part I, vol. 223, no. 8, pp. 1067–1080, 2009. View at Publisher · View at Google Scholar · View at Scopus
  22. B. Hassibi, A. H. Sayed, and T. Kailath, “Linear estimation in Krein spaces—part I: theory,” IEEE Transactions on Automatic Control, vol. 41, no. 1, pp. 18–33, 1996. View at Scopus
  23. B. Hassibi, A. H. Sayed, and T. Kailath, “Linear estimation in Krein spaces—part II: applications,” IEEE Transactions on Automatic Control, vol. 41, no. 1, pp. 34–49, 1996. View at Scopus