To address the non-line-of-sight(NLOS) issue in the field of target location of wireless sensor network, a target location algorithm based on the disk of scatterers model in NLOS environment is proposed to mitigate the NLOS error. The new algorithm utilizes the weighted measurement mean value of the measurements of multipath time of arrives received by base stations and matches it to the theoritical mean value of the disk of scatterers model to establish the target function. Meanwhile, disk radius constraint is introduced to the target function. Through searching the extreme value of target function, an optimal solution contains the location of target can be obtained. Simulation experiments show that compared with other target location algorithms, the presented algorithm can obtain the global optimal solution and improve the positioning accuracy under NLOS environment.
[3] Guvenc I, Chong CC. A survey on TOA based wire-less localization and NLOS mitigation techniques. Communications Surveys & Tutorials, 2009,11(3):107-124.
[4] Riba J, Urruela A. A non-line-of-sight mitigation technique based on ML-detection. In:Proc. of the IEEE Int'l Conf. on Acoustics, Speech, and Signal Processing(ICASSP 2004), Vol.2. IEEE, 2004,2:ii-153-156.
[5] Gezici S, Sahinoglu Z. UWB geolocation techniques for IEEE 802.15.4a personal area networks. Technical Report, TR-2004-110, Mitsubishi Electric Research Laboratory, 2004.
[6] Yin F, Fritsche C, Gustafsson F, et al. TOA-Based robust wireless geolocation and Cramér-Rao lower bound analysis in harsh LOS/NLOS environments. IEEE Trans. on Signal Processing, 2013,61(9):2243-2255.
[7] Venkatesh S, Buehrer RM. NLOS mitigation using linear programming in ultrawideband location-aware networks. IEEE Trans. on Vehicular Technology, 2007,56(5):3182-3198.
[8] Zhu X, Shi M, Zhang J, et al. A scattering model based non-line-of-sight error mitigating algorithm via distributed multi-antenna. In:Proc. of the IEEE 18th Int'l Symp. on Personal, Indoor and Mobile Radio Communications(PIMRC 2007). IEEE, 2007. 1-5.
[9] Al-Jazzar S, Caffery J, You HR. Scattering-Model-Based methods for TOA location in NLOS environments. IEEE Trans. on Vehicular Technology, 2007,56(2):583-593.
[10] Zou H, Chen L, He F, et al. Joint mean matching NLOS mitigation method in TOA location. In:Proc. of the 3rd Int'l Conf. on Communications and Networking in China(ChinaCom 2008). IEEE, 2008. 178-181.
[11] Al-Jazzar S, Caffery J, You HR. A scattering model based approach to NLOS mitigation in TOA location systems. In:Proc. of the 55th Vehicular Technology Conf.(VTC Spring 2002). IEEE, 2002,2:861-865.
[12] Al-Jazzar S, Caffery J. ML and Bayesian TOA location estimators for NLOS environments. In:Proc. of the 56th Vehicular Technology Conf.(VTC 2002-Fall). IEEE, 2002,2:1178-1181.
[13] Nelder JA, Mead R. A simplex method for function minimization. The Computer Journal, 1965,7(4):308-313.