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Dataset-2: CARDINAL RF (CARDRF): An Outdoor UAV/UAS/DRONE RF Signals with Bluetooth and WiFi Signals Dataset

2022
2.4 GHz, 2020, Drone, RF signature
Non-Canonical Experiments
Bluetooth, WiFi

Lead Experimenter

Olusiji Medaiyese and Adrian Lauf, University of Louisville

Link to Dataset

Publications Using This Dataset

  • O. O. Medaiyese, “Signal Fingerprinting and Machine Learning Framework for UAV Detection and Identification,” Ph.D. dissertation, January 2021.

Equipment and Software Used

Keysight High-Sampling Oscilloscope, drones, remote controllers from different vendors, WiFi and Bluetooth interferers (this is a BYOD experiment)

Description

The dataset contains UAV (telemetry and control), Bluetooth, and WiFi RF signals in .mat format. It was captured in an outdoor setting. Each RF signal has 5 million sampling points and spans a time period of 0.25ms. The script for plotting the signal is called SIGNAL_PLOT.mlx (a Matlab script) in the code zip file.

Representative Results

  • Result figures
    The image below shows the data collection procedure and representative results on UAV/WiFi/Bluetooth classification accuracy.

 

Potential use cases for this dataset include:

  • Interference Analysis and Mitigation
  • UAV Identification and Classification