TY - GEN
T1 - Non-line-of-sight mitigation in TOA-based RTLS using partially linear model
AU - Wu, Hairan
AU - Chai, Senchun
AU - Cui, Lingguo
PY - 2013
Y1 - 2013
N2 - Location-awareness is becoming an essential aspect of wireless networks. However, the non-line-of-sight (NLOS) environment with the presence of walls and other obstacles that result in positively biased estimations, which present a significant challenge for traditional multilateral techniques. In this paper, a robust estimator based on a partially linear model is proposed to improve the localization accuracy in the case of the NLOS environment. By employing linearization of multilateral ranging equations, the position estimation can be obtained without prior knowledge about the density of measurement errors. In order to evaluate the performance of the provided methodology, Monte Carlo simulations and practical experiments have been carried out. Comparing with the existing method, the proposed approach can achieve high localization accuracy especially when NLOS contamination is high.
AB - Location-awareness is becoming an essential aspect of wireless networks. However, the non-line-of-sight (NLOS) environment with the presence of walls and other obstacles that result in positively biased estimations, which present a significant challenge for traditional multilateral techniques. In this paper, a robust estimator based on a partially linear model is proposed to improve the localization accuracy in the case of the NLOS environment. By employing linearization of multilateral ranging equations, the position estimation can be obtained without prior knowledge about the density of measurement errors. In order to evaluate the performance of the provided methodology, Monte Carlo simulations and practical experiments have been carried out. Comparing with the existing method, the proposed approach can achieve high localization accuracy especially when NLOS contamination is high.
KW - Non-line-of-sight (NLOS) mitigation
KW - Partially linear model
KW - Real time location system (RTLS)
UR - http://www.scopus.com/inward/record.url?scp=84906738419&partnerID=8YFLogxK
U2 - 10.1109/ICCT.2013.6820412
DO - 10.1109/ICCT.2013.6820412
M3 - Conference contribution
AN - SCOPUS:84906738419
SN - 9781479900749
T3 - International Conference on Communication Technology Proceedings, ICCT
SP - 418
EP - 423
BT - ICCT 2013 - Proceedings of 2013 15th IEEE International Conference on Communication Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Communication Technology, ICCT 2013
Y2 - 17 November 2013 through 19 November 2013
ER -