Affiliation:
1. Chinese Academy of Sciences
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.
Publisher
Trans Tech Publications, Ltd.
Reference9 articles.
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.
2. M.I. Silventoinen, T. Rantalaien, Moble Station Locating in GSM, IEEE Wireless Communication System Symposium, Long Island NY, November (1995).
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.
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.
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.