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Data set for UWB Cooperative Navigation and Positioning of UAV Cluster
Cunle Zhang1, Chengkai Tang2, Haonan Wang1
1School of Electronic Information, Northwestern Polytechnical University, Xi'an, 710072, China.
Scientific Data
|March 24, 2025
Summary
This study presents a cooperative navigation system for unmanned aerial vehicle (UAV) clusters using ultra-wideband (UWB) technology. The collected data enables the development of advanced multi-UAV navigation and positioning algorithms.
Area of Science:
- Robotics and Control Systems
- Wireless Communication and Navigation
Background:
- Cooperative navigation for unmanned aerial vehicle (UAV) clusters is crucial for military and civilian applications.
- Ultra-wideband (UWB) technology offers a precise and stable solution for distance-based cooperative positioning.
Purpose of the Study:
- To develop and evaluate a cooperative navigation system for UAV clusters.
- To collect comprehensive measurement data for algorithm validation and development.
Main Methods:
- Utilized eight fixed base stations and seven mobile UAVs for data collection.
- Conducted experiments in both indoor and outdoor environments with four distinct UAV flight formations.
- Employed predefined flight trajectories and multiple measurements per point to ensure technical validation and mitigate control fluctuations.
Main Results:
- Generated a dataset supporting the development of distance-based multi-target navigation algorithms.
- Provided data for evaluating formation maintenance and collision avoidance algorithms for multiple UAVs.
- Created a valuable resource for navigation evaluation and multi-source fusion cluster positioning algorithm development.
Conclusions:
- The collected UWB measurement data is essential for advancing cooperative UAV navigation systems.
- The dataset facilitates the creation and testing of sophisticated algorithms for multi-UAV coordination and positioning.
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