Hybrid TDOA/AOA Localization Algorithm in Non-line-of-sight Environments

DOI

10.2991/cset-16.2016.9How to use a DOI?

Keywords

NLOS error, identification, time difference of arrival(TDOA), angle of arrival (AOA)

Abstract

In reality, Non-line-of-sight(NLOS) error is the major factor which influences the positioning accuracy. NLOS identification and correction are the major techniques of reducing the positioning error. In this paper, we investigate the NLOS propagation identification and correction for time difference of arrival (TDOA) in wireless sensor networks. Based on the TDOA residual, an NLOS identification algorithm is proposed. when the anchors which can use to location are too small, after we identified. In this case, the excessive time delay in NLOS environment; the measurements for TDOA are reconstructed by estimating the mean and variance of the excessive time delay. So we can rewrite the TDOA that we measured. In order to obtain an accuracy position, we joint AOA to this location. In this case, we can calculate the tag position with TDOA and AOA. Firstly, it figures out the radial range between tag and reference anchor, then calculates the location of tag. Simulation results show that with the existence of NLOS errors, this method can improve the positioning accuracy in wireless sensor networks.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rongpei Ni
AU  - Hui Xiong
AU  - Luning Xu
AU  - Yanchun Xie
PY  - 2016/08
DA  - 2016/08
TI  - Hybrid TDOA/AOA Localization Algorithm in Non-line-of-sight Environments
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 37
EP  - 41
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.9
DO  - 10.2991/cset-16.2016.9
ID  - Ni2016/08
ER  -