Abstract 

This article presents the details of the Cardinal RF (CardRF) dataset. CardRF is acquired to foster research in RF- based UAV detection and identification or RF fingerprinting. RF signals were collected from UAV controllers, UAV, Bluetooth, and Wi-Fi devices. Signals are collected at both visual line-of-sight and beyond-line-of-sight. The assumptions and procedure for the data acquisition are presented. A detailed explanation of how the data can be utilized is discussed. CardRF is over 65 GB in storage memory.

Funding Agency: 
National Aeronautics and Space Administration (NASA) under the Federal Award ID number NNX17AJ94A, and by NSF CNS-1939334 Aerial Experimentation Research Platform for Advanced Wireless (AERPAW) project

Comments

Greetings Dr. Medaiyese

How can I go about accessing the CARDINAL RF (CARDRF): AN OUTDOOR UAV/UAS/DRONE RF SIGNALS WITH BLUETOOTH AND WIFI signal dataset.
Also can you advise me on what MATLAB tool was used for analysis/reformatting and python may also be used for this purpose.

Submitted by Babatunde Falohun on Sun, 07/17/2022 - 11:16

Hi Babatunde,

Thank you for having an interest in the data. The necessary information on how to use the data can be found in the documentation file (CardRF.pdf ). The script for loading and reformatting is written in MATLAB and it can be found in the Code.zip file. There is no specific MATLAB tool needed for analysis/reformatting. You have the freedom to use Python.

Please let me know if you have additional questions.

Submitted by OLUSIJI MEDAIYESE on Wed, 07/20/2022 - 01:17

Dear Dr. Medaiyese,

Thank you very much for sharing this interesting UAV database. I'm also grateful to you for answering all the questions I asked you by mail. This helped me a lot.

Submitted by Nassima Merabtine on Thu, 08/18/2022 - 10:59
Submitted by OLUSIJI MEDAIYESE on Mon, 05/08/2023 - 16:04