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Research on UWB Indoor Positioning System Based on TOF Combined Residual Weighting.

Jinmin Yang^1,2,3, Chunhua Zhu^1,2,3

¹Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Ministry of Education, Zhengzhou 450001, China.

Sensors (Basel, Switzerland)

|February 11, 2023

Summary

This study introduces a novel Ultra-Wideband (UWB) indoor positioning system to overcome Time Difference of Arrival (TDOA) limitations. The enhanced method improves positioning accuracy, especially for tags far from the hyperbolic asymptote.

Keywords:

Newton iteration TOF residual weighting ultra-wideband weighted centroid

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Published on: May 2, 2018

Area of Science:

Electrical Engineering
Computer Science
Signal Processing

Background:

Time Difference of Arrival (TDOA) positioning using Ultra-Wideband (UWB) technology faces performance limitations due to hyperbolic characteristics.
Accuracy degrades for tags positioned far from the hyperbolic asymptote in traditional TDOA systems.

Purpose of the Study:

To propose a new UWB indoor positioning system that addresses the limitations of TDOA.
To enhance the reliability and accuracy of UWB indoor positioning, particularly in challenging tag locations.

Main Methods:

Utilized Time of Flight (TOF) ranging to establish initial positioning equations.
Employed a weighted centroid algorithm with four base stations for initial tag position estimation.
Introduced residual weighting for optimizing the initial position and applied Newton iteration to solve nonlinear equations.

Main Results:

The proposed system effectively overcomes TDOA hyperbolic limitations.
Achieved reliable positioning across various noise levels and tag placements through simulations.
Demonstrated improved accuracy compared to standard TDOA methods.

Conclusions:

The novel UWB indoor positioning system offers enhanced reliability and accuracy.
The integration of TOF, weighted centroid, residual weighting, and Newton iteration provides a robust solution.
Validated through simulations, the system is suitable for diverse indoor positioning scenarios.