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Threshold Setting for LOS/NLOS Identification Based on Joint TOA and RSS  

Guan, XuFeng (Department of Information & Communication Engineering, Yeungnam University)
Hur, SooJung (Department of Information & Communication Engineering, Yeungnam University)
Park, Yongwan (Department of Information & Communication Engineering, Yeungnam University)
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Abstract
Non-line-of-sight (NLOS) propagation is one of the challenges in radio positioning. Distinguishing the transmission status of the communication as line-of-sight (LOS) or NLOS is of great importance for the wireless communication systems. This paper focuses on the identification of NLOS based on time-of-arrival (TOA) distance estimates and the received signal strength (RSS) measurements. We set a path loss threshold based on the joint TOA and RSS based NLOS detection method to determine LOS or NLOS. Simulation results show that the proposed method ensures the correct of detection for the LOS condition and can improve the NLOS identification for the weak noise and long distance.
Keywords
Time-of-arrival (TOA); Received signal strength (RSS); Non-line-of-sight (NLOS) Identification;
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1 N. J. Thomas, D. G. Cruickshank, and D. Laurenson. "A robust location estimator architecture with biased kaIman filtering of TOA data for wireless systems", in IEEE Int .Symp. Spread Spectrum Techniques and Applications, pp. 296-300, Sept. 2000.
2 M. Najar and J. Vidal, " Kalman tracking for rnobile location in NLOS situations", in Proc. IEEE Int. Symp. PersonaI. Indoor and Mobile Radio Communications (PIMRC), pp.2203-2207, Sept. 2003.
3 W. Kim, J. G. Lee, and G. J. Jee. "The interior-point method for an optimaI treatment of bias in trilateration location," IEEE Trans Vehicular Technology, Vol.55, pp. 1291-1301, Jul. 2006   DOI   ScienceOn
4 R. J. Fontana, "Recent system applications of short-pulse ultra-wide band (uwb) technology, IEEE Trans. Microwave Theory and Technology, Vol.52, pp. 2087-2104, Sept. 2004.   DOI   ScienceOn
5 W. C. Y. Lee, Mobile Communication Engineering, McGraw-Hill, 1993.
6 K. Yu and Y. J. Guo, "Statistical NLOS identification based on AOA, TOA and signal strength", IEEE transactions on vehicular technology, Vol.58, No.1, pp. 235-238, Jan. 2009.