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Dataset-31: AERPAW Air-to-Air channel sounding measurement with UAVs

2026
2026, 3.4 GHz, Drone, I/Q Dataset
Lake Wheeler, UAV, USRP

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

2xLPN on LAM, USRP B210, USRP B205mini, GNSSDO, Channel sounder software

Description

This dataset contains measurements from an air-to-air channel sounding campaign involving two UAVs transmitting/receiving at 3.4 GHz. The measurements were collected at the AERPAW Lake Wheeler testbed, with one UAV (center) acting as the transmitter and the other (orbiter) following a spherical trajectory around it to capture channel characteristics. The dataset includes raw I/Q signal captures in SigMF format, UAV position and heading telemetry, and derived channel metrics such as received power and RMS delay spread.

Representative Results

This dataset includes the raw signal captured for the following measured channel impulse response and path loss below. 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
  • UAV Shadowing Analysis