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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

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 languageEnglish
Article number6513
Pages (from-to)1-17
Number of pages17
JournalSensors (Switzerland)
Volume20
Issue number22
DOIs
StatePublished - 2 Nov 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Indoor positioning
  • TDOA
  • Time synchronization
  • UWB
  • WLS

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

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