A Two-Step Optimizing Algorithm for TOA Real-Time Dynamic Localization in NLOS Environment

Abstract:

Non-line-of-sight (NLOS) is one of the main factors that affect the ranging accuracy in wireless localization. This paper proposes a two-step optimizing algorithm for TOA real-time tracking in NLOS environment. Step one, use weighted least-squares (WLS) algorithm, combined with the NLOS identification informations, to mitigate NLOS bias. Step two, utilize Kalman filtering to optimize the localization results. Simulation results show that the proposed two-step algorithm can obtain better localization accuracy, especially when there are serious NLOS obstructions.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 3604-3608
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.3604
• Online since: August 2013
• Authors: Shan Long, Zhe Cui, Fei Song
• Keywords: Dynamic Localization, Kalman, NLOS, TOA, WLS

References

[1] M P Wylie, J Holtzmann. The non-line of sight problem in mobile location estimation[A]. Proceedings of 5th IEEE International Conference on Universal Personal Communications[C]. Piscataway: IEEE Press, 1996, 827-831.

DOI: 10.1109/icupc.1996.562692

[2] M.I. Silventoinen, T. Rantalaien, Moble Station Locating in GSM, IEEE Wireless Communication System Symposium, Long Island NY, November (1995).

DOI: 10.1109/wcss.1995.588481

[3] Borras, J., Hatrack, P., and Mandayam, N.B.: Decision theoretic framework for NLOS identification,. 1998 Vehicular Technology Conf., (VTC98), May 1998, vol. 2, p.1583–1587.

DOI: 10.1109/vetec.1998.686556

[4] Khodjaev, J., S. Hur, et al.: Low complexity LTS-based NLOS error mitigation for localization., annals of telecommunications-annales des télécommunications 2012, 67(9-10): 471-476.

DOI: 10.1007/s12243-011-0279-2

[5] Qi, Y., Kobayashi, H., and Suda, H.: Analysis of wireless geolocation in a non-line-of-sight environment, IEEE Trans. Wirel. Commun., 2006, 5, p.672–681.

DOI: 10.1109/twc.2006.1603982

[6] Alves, T., M. Morant, et al.: Performance comparison of OFDM-UWB radio signals distribution in long-reach PONs using Mach-Zehnder and linearized modulators., Selected Areas in Communications, IEEE Journal, 2011, 29(6): 1311-1320.

DOI: 10.1109/jsac.2011.110618

[7] Zhang, J.R., Kennedy, R.A., and Abhayapala, T.D.: Cramer-Rao lower bounds for the time delay estimation of UWB signals., 2004 IEEE Int. Conf. on Communications, June 2004, vol. 6, p.3424– 3428.

DOI: 10.1109/icc.2004.1313180

[8] Denis, B., Keignart, J., and Daniele, N.: Impact of NLOS propagation upon ranging precision in UWB systems,. 2003 IEEE Conf. on Ultra Wideband Systems and Technologies, Nov 2003, p.379–383.

DOI: 10.1109/uwbst.2003.1267868

[9] IEEE P802. 15-04-0581r7 Ranging Subcommittee Final Report Project: IEEE P802. 15 Working Group for Wireless Personal Area Detection for Wireless Personal Area Networks (WPANs), Nov. (2005).

DOI: 10.1109/ieeestd.2011.6012487