Dataset-32: AERPAW Air-to-Ground Channel Sounding and Path Loss Measurements at 3.4 GHz with Linear and Zigzag UAV Trajectories

2026

2026, 3.4 GHz, Drone, Propagation Measurements, Trajectory

Lead Experimenter

Anil Gurses, North Carolina State University

Link to Dataset

Dataset Link:
The dataset includes the raw captured signal and metrics from the UAV during the measurement. The SigMF format dataset can be accessed here [link]

Source Code:
The source code for the channel sounder and post-processing script can be accessed here [link]

Equipment and Software Used

LPN on LAM, USRP B210, GNSSDO, Channel sounder software

Description

This dataset contains measurements from an air-to-ground channel sounding campaign using a receiver at 3.4 GHz deployed on a UAV. The measurements were collected at the AERPAW Lake Wheeler testbed, with a fixed ground node acting as the transmitter. The dataset includes four UAV flights conducted at an altitude of approximately 60 m, comprising two repeated linear trajectories and two repeated zigzag trajectories. The dataset includes raw I/Q signal captures in SigMF format, UAV position and heading telemetry, processed measurement data in CSV and NPZ formats, and processed propagation metrics such as path loss. This dataset is an extension to Dataset-19.

Representative Results

This dataset includes the raw signal captured for the following trajectories. All the figures below can be generated with the provided GitHub repository.

Potential use cases for this dataset include:

Wireless Channel Modeling for UAVs
Digital Twins
Interference Management and Channel Estimation