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Article

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

1
Engineering Center of SHMEC for Space Information and GNSS, East China Normal University, Shanghai 200241, China
2
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China
3
Alibaba Xixi Park, Yu Hang District, Hangzhou 311121, China
4
Department of Engineering, Manchester Metropolitan University, Manchester M15 6BH, UK
5
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester M15 6BH, UK
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(22), 6513; https://doi.org/10.3390/s20226513
Received: 9 October 2020 / Revised: 6 November 2020 / Accepted: 11 November 2020 / Published: 14 November 2020
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. View Full-Text
Keywords: indoor positioning; time synchronization; UWB; TDOA; WLS indoor positioning; time synchronization; UWB; TDOA; WLS
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MDPI and ACS Style

Zhao, K.; Zhao, T.; Zheng, Z.; Yu, C.; Ma, D.; Rabie, K.; Kharel, R. Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things. Sensors 2020, 20, 6513. https://doi.org/10.3390/s20226513

AMA Style

Zhao K, Zhao T, Zheng Z, Yu C, Ma D, Rabie K, Kharel R. Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things. Sensors. 2020; 20(22):6513. https://doi.org/10.3390/s20226513

Chicago/Turabian Style

Zhao, Kun, Tiantian Zhao, Zhengqi Zheng, Chao Yu, Difeng Ma, Khaled Rabie, and Rupak Kharel. 2020. "Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things" Sensors 20, no. 22: 6513. https://doi.org/10.3390/s20226513

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