Position-Channel Measurement System for Wireless Digital Twins

TurtleBot-based ROS SLAM and Python modem system for paired position-channel measurements.

This project focuses on building a measurement pipeline for wireless digital twins. We developed a TurtleBot-based system that combines ROS SLAM, synchronized wireless channel measurements, and a Python-based modem to collect paired position-channel data in indoor environments.

The main goal was to capture how wireless channels vary with location in a form that can be used directly for digital twin construction and analysis. Using the collected dataset, we studied location-dependent phase variations in multi-antenna joint transmission environments.

TurtleBot-based measurement setup integrating mobile positioning, wireless nodes, and synchronized channel acquisition.

The system uses a mobile robot to traverse the environment while estimating its trajectory with ROS SLAM. At the same time, the wireless modem records channel responses so that each measurement can be aligned with a physical position. This produces a spatially grounded wireless dataset rather than a standalone channel log.

Measurement and analysis interface showing synchronized logging and visualization of position-aware channel data.

This measurement stack was then extended into a digital twin workflow, where the collected data supports environment-aware wireless analysis and visualization. The same platform is intended to support future studies on channel prediction, coordinated transmission, and wireless system prototyping in realistic indoor spaces.

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