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

Kun Zhao; Tiantian Zhao; Zhengqi Zheng; Chao Yu; Difeng Ma; Khaled Rabie; Rupak Kharel

doi:10.3390/s20226513

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

Kun Zhao, Tiantian Zhao, Zhengqi Zheng, Chao Yu, Difeng Ma, Khaled Rabie, Rupak Kharel

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Abstract

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.

Original language	English
Article number	6513
Number of pages	17
Journal	Sensors (Switzerland)
Volume	20
Issue number	22
DOIs	https://doi.org/10.3390/s20226513
Publication status	Published - 14 Nov 2020
Externally published	Yes

Access to Document

10.3390/s20226513Licence: CC BY

Cite this

@article{361a26507cee42cea4c231c41640c724,

title = "Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things",

abstract = "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.",

keywords = "Indoor positioning, TDOA, Time synchronization, UWB, WLS",

author = "Kun Zhao and Tiantian Zhao and Zhengqi Zheng and Chao Yu and Difeng Ma and Khaled Rabie and Rupak Kharel",

note = "Funding Information: Funding: This work was sponsored by National Natural Science Foundation of China (No. 61771197) and Science and Technology Commission of Shanghai Municipality (Grant No. 14DZ2260800) Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2020",

month = nov,

day = "14",

doi = "10.3390/s20226513",

language = "English",

volume = "20",

journal = "Sensors",

issn = "1424-3210",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "22",

}

TY - JOUR

T1 - Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of Things

AU - Zhao, Kun

AU - Zhao, Tiantian

AU - Zheng, Zhengqi

AU - Yu, Chao

AU - Ma, Difeng

AU - Rabie, Khaled

AU - Kharel, Rupak

N1 - Funding Information: Funding: This work was sponsored by National Natural Science Foundation of China (No. 61771197) and Science and Technology Commission of Shanghai Municipality (Grant No. 14DZ2260800) Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2020/11/14

Y1 - 2020/11/14

N2 - 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.

AB - 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.

KW - Indoor positioning

KW - TDOA

KW - Time synchronization

KW - UWB

KW - WLS

UR - http://www.scopus.com/inward/record.url?scp=85096032778&partnerID=8YFLogxK

U2 - 10.3390/s20226513

DO - 10.3390/s20226513

M3 - Article

C2 - 33202636

AN - SCOPUS:85096032778

VL - 20

JO - Sensors

JF - Sensors

SN - 1424-3210

IS - 22

M1 - 6513

ER -

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

Abstract

Access to Document

Other files and links

Cite this