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
Descripción
Sumario: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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