Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things

To provide high-precision positioning for Internet of Things (IoT) scenarios, we optimize the indoor positioning technique based on Ultra-Wideband (UWB) Time Difference of Arrival (TDOA) equipment. This paper analyzes sources of positioning error and improves the time synchronization algorithm based...

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Detalles Bibliográficos
Autores principales: Zhao, Kun, Zhao, Tiantian, Zheng, Zhengqi, Yu, Chao, Ma, Difeng, Rabie, Khaled, Kharel, Rupak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697645/
https://www.ncbi.nlm.nih.gov/pubmed/33202636
http://dx.doi.org/10.3390/s20226513
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author Zhao, Kun
Zhao, Tiantian
Zheng, Zhengqi
Yu, Chao
Ma, Difeng
Rabie, Khaled
Kharel, Rupak
author_facet Zhao, Kun
Zhao, Tiantian
Zheng, Zhengqi
Yu, Chao
Ma, Difeng
Rabie, Khaled
Kharel, Rupak
author_sort Zhao, Kun
collection PubMed
description To provide high-precision positioning for Internet of Things (IoT) scenarios, we optimize the indoor positioning technique based on Ultra-Wideband (UWB) Time Difference of Arrival (TDOA) equipment. This paper analyzes sources of positioning error and improves the time synchronization algorithm based on the synchronization packet. Then we use the labels of the known position to further optimize the time synchronization performance, and hence improve TDOA measurements. After time synchronization optimization, a Weighted Least Square (WLS) and Taylor coordination algorithm is derived. Experiments show that our optimization reduces the average positioning error from 54.8 cm to 12.6 cm.
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spelling pubmed-76976452020-11-29 Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things Zhao, Kun Zhao, Tiantian Zheng, Zhengqi Yu, Chao Ma, Difeng Rabie, Khaled Kharel, Rupak Sensors (Basel) Article To provide high-precision positioning for Internet of Things (IoT) scenarios, we optimize the indoor positioning technique based on Ultra-Wideband (UWB) Time Difference of Arrival (TDOA) equipment. This paper analyzes sources of positioning error and improves the time synchronization algorithm based on the synchronization packet. Then we use the labels of the known position to further optimize the time synchronization performance, and hence improve TDOA measurements. After time synchronization optimization, a Weighted Least Square (WLS) and Taylor coordination algorithm is derived. Experiments show that our optimization reduces the average positioning error from 54.8 cm to 12.6 cm. MDPI 2020-11-14 /pmc/articles/PMC7697645/ /pubmed/33202636 http://dx.doi.org/10.3390/s20226513 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Kun
Zhao, Tiantian
Zheng, Zhengqi
Yu, Chao
Ma, Difeng
Rabie, Khaled
Kharel, Rupak
Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things
title Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things
title_full Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things
title_fullStr Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things
title_full_unstemmed Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things
title_short Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things
title_sort optimization of time synchronization and algorithms with tdoa based indoor positioning technique for internet of things
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697645/
https://www.ncbi.nlm.nih.gov/pubmed/33202636
http://dx.doi.org/10.3390/s20226513
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