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Updated: Dec 11, 2025

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Particle Filtering for Three-Dimensional TDoA-Based Positioning Using Four Anchor Nodes.

Mohamed Khalaf-Allah¹

¹Institute of Traffic Telematics, Technische Universität Dresden, 01062 Dresden, Germany.

Sensors (Basel, Switzerland)

|August 19, 2020

Summary

This summary is machine-generated.

This study demonstrates a particle filter method for 3D positioning using time difference of arrival (TDoA) measurements. This approach enables accurate unmanned air vehicle (UAV) positioning in indoor environments like warehouses.

Keywords:

drone hyperbolic positioning indoor positioning particle filtering time difference of arrival (TDoA)unmanned air vehicle (UAV)

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Area of Science:

Robotics and Control Systems
Wireless Communication and Navigation

Background:

Accurate indoor positioning is crucial for applications like inventory management and autonomous navigation.
Traditional methods may require extensive infrastructure or suffer from limitations in complex environments.

Purpose of the Study:

To investigate the feasibility of a four-anchor time difference of arrival (TDoA)-based 3D positioning system using particle filtering.
To evaluate the effectiveness of this method for unmanned air vehicle (UAV) applications in indoor settings.

Main Methods:

Implementation of a particle filter with 1000 particles to estimate the target node's posterior probability density function (pdf).
Utilizing a resampling procedure for particle generation during the prediction step.
Assigning particle weights based on Time Difference of Arrival (TDoA) measurements for posterior pdf updating and position estimation.

Main Results:

Simulation results confirm the feasibility of the proposed particle filtering approach for 3D positioning.
The method demonstrates potential for accurate positioning under assumed indoor conditions, particularly with ultra-wideband (UWB) technology.

Conclusions:

The particle filter-based TDoA positioning system is a viable solution for indoor localization challenges.
This technology can support unmanned air vehicle (UAV) applications, such as inventory management in large warehouses, without requiring numerous anchor nodes.