Abstract
A new geometric localization approach that is able to locate a stationary tag in non-line-of-sight (NLOS) indoor environment using only the time-of-arrival (TOA) measurements is presented. The novelty of our work resides in converting the NLOS problem into line-of-sight (LOS) problem based on the following three steps, so that the localization algorithm for LOS conditions can be applied in NLOS conditions. First, the geometric TOA model for NLOS is developed, considering the effects of reflection and diffraction. Then, the equivalent anchors can be established based on the geometric features of the real indoor environment. Finally, paths estimation algorithm is derived to estimate the actual signal propagation paths, as well as the position of the tag. Simulation results demonstrate the effectiveness of the proposed method.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China under Grant 61601494, 61501493.
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Liu, D., Yao, Y., Zhai, Y. (2018). TOA Localization in NLOS Environments. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2016. Lecture Notes in Electrical Engineering, vol 423. Springer, Singapore. https://doi.org/10.1007/978-981-10-3229-5_52
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DOI: https://doi.org/10.1007/978-981-10-3229-5_52
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