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Indoor UWB Positioning and Position Tracking Data Set.

Klemen Bregar¹

¹Institut Jožef Stefan, Department of Communication Systems, Ljubljana, 1000, Slovenia. klemen.bregar@ijs.si.

Scientific Data

|October 26, 2023

Summary

This summary is machine-generated.

This study introduces a new dataset for ultra-wideband (UWB) indoor positioning, enabling precise centimeter-level accuracy. The data supports the development of advanced positioning and tracking algorithms for various applications.

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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.