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 |
| Pages (from-to) | 1-17 |
| Number of pages | 17 |
| Journal | Sensors |
| Volume | 20 |
| Issue number | 22 |
| DOIs | |
| Publication status | Published - 2 Nov 2020 |
| Externally published | Yes |
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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