Abstract
Wireless localization has become a key technology location based services, and the non-line-of-sight (NLOS) propagation is one of the most important error source in the localization. Therefore, this paper defines a novel algorithm residual error (ARE) in NOLS environment, and estimates the position of mobile station (MS) by minimizing this ARE, where the quadratic programming is employed to solve the minimization problem. The simulation results show that the proposed algorithm produces significant performance improvements in NLOS environments.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
FCC Docket No. 94-102, Revision of Commission’s Rules to Ensure Compatibility with Enhanced 911 Emergency Calling System. RM-8143, 26 July 1996
Sayed, A.H., Taright, A., Kgajehnouri, N.: Network-based wireless location. IEEE Signal Process. Mag. 22(4), 24–40 (2005)
Gustafsson, F., Gunnarsson, F.: Mobile positioning using wireless networks: possibilities and fundamental limitations based on available wireless network measurements. IEEE Signal Process. Mag. 22(42), 41–53 (2005)
Hui, H., Darabi, H., Banerjee, P., Liu, J.: Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 37(6), 1067–1080 (2007)
Patwari, N., Ash, J.N., Kyperountas, S., Hero, A.O., Moses, R.L., Correal, N.S.: Locating the nodes: cooperative localization in wireless sensor networks. IEEE Signal Process. Mag. 22(4), 54–69 (2005)
Fang, B.T.: Simple solutions for hyperbolic and related fixes. IEEE Trans. Aerosp. Electron. Syst. 26(5), 748–753 (1990)
Chan, Y.T., Ho, K.C.: K. C. HO. A simple and efficient estimator for hyperbolic location. IEEE Trans. Signal Process. 42(8), 1905–1915 (1994)
Foy, W.H.: Position-location solutions by Taylor-series estimation. IEEE Trans. Aerosp. Electron. Syst. 12(3), 187–194 (1976)
Friedlander, B.: A passive location algorithm and its accuracy analysis. IEEE J. Ocean. Eng. 12(1), 234–244 (1987)
Schau, H.C.: Passive source location employing intersecting spherical surfaces from time of arrival different. IEEE Trans. Acoust. Speech Signal Process. 25(8), 1223–1225 (1987)
Al-Jazzar, S., Caffery, J.J., You, H.R.: A scattering model based approach to NLOS mitigation in TOA location systems. In: Proceedings of the 2002 IEEE Vehicular Technology Conference, Birmingham, UK, pp. 861–865. IEEE (2002)
Al-Jazzar, S., Caffery, J.J.: ML and Bayesian TOA location estimators for NLOS environments. In: Proceedings of the 2002 IEEE Vehicular Technology Conference, Birmingham, UK, pp. 856–860. IEEE (2002)
Guvenc, I., Chong, C.C., Wantanable, F., Inamura, H.: NLOS identification and weighted least squares localization for UWB systems using multipath channel statistics. EURASIP J. Adv. Signal Process. 36(1), 1–14 (2008)
Cong, L., Zhuang, W.H.: Non-line-of-sight error mitigation in mobile location. IEEE Trans. Wirel. Commun. 4(2), 560–573 (2004)
Venkatraman, S., Caffery, J.J., You, H.R.: A novel TOA location algorithm using LOS range estimation for NLOS environments. IEEE Trans. Veh. Technol. 53(5), 515–1524 (2004)
Khajehnouri, N., Sayed, A.H.: A non-line-of-sight equalization scheme for wireless cellular location. In: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech and Signal Processing, Hongkong, pp. 549–552. IEEE (2003)
Chen, P.P.: A non-line-of-sight error mitigation algorithm in location estimation. In: Proceedings of the 1999 IEEE Wireless Communications and Networking Conference, New Orleans, LA, USA, pp. 316–320. IEEE (1999)
Gong, C., Wang, Z.L.: Optimizing Computation Using Matlab, 3rd edn. Publishing House of Electronics Industry, Beijing (2014)
Chan, Y.T., Tsui, W.Y., So, H.C., Ching, P.C.: Time-of-arrival based localization under NLOS conditions. IEEE Trans. Veh. Technol. 55(1), 17–24 (2006)
Wang, X., Wang, Z., Odea, B.: TOA-based location algorithm reducing the errors due to non-line-of-light propagation. IEEE Trans. Veh. Technol. 52(1), 112–116 (2003)
Zheng, X., Hua, J., Jiang, B., Lu, W., Wen, H., Yu, X.: A novel NLOS mitigation and localization algorithm exploiting the optimization method. Chin. J. Sens. Actuators 2013(5), 722–727 (2013)
Acknowledgement
This paper is sponsored by National Natural Science Foundation of China (Grant No. 61601409 and Grant No. 61471322).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Li, S., Hua, J., Li, F., Chen, F., Li, J. (2018). A Non-line-of-Sight Localization Method Based on the Algorithm Residual Error Minimization. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-73564-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73563-4
Online ISBN: 978-3-319-73564-1
eBook Packages: Computer ScienceComputer Science (R0)