Indoor UWB Positioning and Position Tracking Data Set

Area of Science:

• Engineering
• Computer Science
• Signal Processing

Background:

• Indoor positioning is crucial for applications in industry, healthcare, and commerce.
• Ultra-wideband (UWB) technology offers cost-effective, high-accuracy range-based positioning.
• UWB's high temporal resolution allows for centimeter-level range measurements.

Purpose of the Study:

• To collect and present a comprehensive dataset for developing and evaluating range-based indoor positioning systems.
• To facilitate the creation of algorithms for positioning and position tracking using UWB technology.
• To provide tools for reproducible analysis and further research in UWB positioning.

Main Methods:

• Measurements were collected in four distinct indoor environments.
• Eight fixed devices (anchors) and one mobile device (tag) were utilized.
• A pre-defined path with equidistant sampling was used to mitigate walking speed variations.
• Range measurements and Channel Impulse Response (CIR) data were recorded at each position.

Main Results:

• A dataset was generated from multiple indoor environments, supporting diverse network topologies and anchor-tag configurations.
• The data enables the development and testing of range-based positioning and position tracking algorithms.
• Provided data analysis tools ensure result reproducibility and aid further algorithm development.

Conclusions:

• The UWB positioning dataset is valuable for advancing indoor localization research.
• The dataset and analysis tools support the creation of robust and accurate positioning systems.
• This work lays the foundation for future innovations in UWB-based indoor navigation and tracking.