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Optimization of Time Synchronization and Algorithms with TDOA Based Indoor Positioning Technique for Internet of
Kun Zhao1,2, Tiantian Zhao3, Zhengqi Zheng1,2
1Engineering Center of SHMEC for Space Information and GNSS, East China Normal University, Shanghai 200241, China.
Sensors (Basel, Switzerland)
|November 18, 2020
Summary
This study enhances Ultra-Wideband (UWB) indoor positioning by optimizing time synchronization, significantly reducing average errors from 54.8 cm to 12.6 cm for Internet of Things (IoT) applications.
Area of Science:
- Engineering
- Computer Science
- Signal Processing
Background:
- Accurate indoor positioning is crucial for Internet of Things (IoT) applications.
- Existing Ultra-Wideband (UWB) Time Difference of Arrival (TDOA) systems face challenges with positioning accuracy.
- Sources of error in UWB TDOA positioning need to be identified and mitigated.
Purpose of the Study:
- To optimize UWB TDOA indoor positioning for high-precision IoT scenarios.
- To improve the time synchronization algorithm for enhanced TDOA measurements.
- To reduce the average positioning error in UWB-based systems.
Main Methods:
- Analysis of indoor positioning error sources in UWB TDOA systems.
- Improvement of the time synchronization algorithm using synchronization packets.
- Optimization of time synchronization using known position labels.
- Derivation of Weighted Least Square (WLS) and Taylor coordination algorithms.
Main Results:
- Significant reduction in average positioning error from 54.8 cm to 12.6 cm.
- Enhanced time synchronization performance through optimized algorithms.
- Improved accuracy of TDOA measurements after optimization.
Conclusions:
- The proposed optimization of time synchronization significantly enhances UWB TDOA indoor positioning accuracy.
- The refined technique effectively addresses key error sources, enabling high-precision positioning for IoT.
- The developed algorithms provide a robust solution for accurate indoor localization.
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