Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

A TDOA-Based Three-Dimensional Positioning Method for IoT

Authors
Yu Zhang, Kai Gao, Jiang Zhu
Corresponding Author
Yu Zhang
Available Online March 2018.
DOI
10.2991/mecae-18.2018.136How to use a DOI?
Keywords
3D positioning, TDOA, Chan algorithm, IoT.
Abstract

As the Internet of Things (IoT) expands, new networks are initiated in order to provide long-range links with low power and low cost. At the same time, end-devices, localization is attracting more attention. This paper proposes a three-dimensional (3D) positioning algorithm based on time difference of arrival (TDOA). We use unmanned aerial vehicle (UAVs) as gateways to receive signals and calculate, while usual methods are required to construct base stations (BSs). Using UAVs is more flexible and convenient than constructing base stations. Simulation results demonstrate that the proposed method performs better. The second simulation shows that with the increase of the number of BSs, the positioning accuracy improves.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
10.2991/mecae-18.2018.136
ISSN
2352-5401
DOI
10.2991/mecae-18.2018.136How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Yu Zhang
AU  - Kai Gao
AU  - Jiang Zhu
PY  - 2018/03
DA  - 2018/03
TI  - A TDOA-Based Three-Dimensional Positioning Method for IoT
BT  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SP  - 244
EP  - 248
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.136
DO  - 10.2991/mecae-18.2018.136
ID  - Zhang2018/03
ER  -