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2018 | OriginalPaper | Chapter

TOA Localization in NLOS Environments

Authors : Deliang Liu, Yi Yao, You Zhai

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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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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Title: TOA Localization in NLOS Environments
Authors: Deliang Liu
Yi Yao
You Zhai
Publisher: Springer Singapore
Book: Communications, Signal Processing, and Systems
Print ISBN: 978-981-10-3228-8

Electronic ISBN: 978-981-10-3229-5

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-981-10-3229-5_52