Live Demonstration: RF Frame Detection Using YOLOv8 for Spectrum Sensing
This demo shows how to use the You Only Look Once (YOLO) version 8 framework to identify radio-frequency (RF) signals for spectrum sensing in Software-Defined-Radio (SDR) and Cognitive-Radio (CR) systems. To this purpose, a trained YOLOv8 nano framework was embedded in an IoT device based on a Raspberry Pi 5 and connected to an ADALM-PLUTO SDR board to detect and classify the activity of RF frames around the industrial, scientific, and medical (ISM) frequency band. This framework detects wireless standards such as Bluetooth and WiFi. This hardware demonstrator operates in real-time and can detect RF frames showing its potential application in SDR/CR terminals<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>.
Authors
- Alejandro J. Rojas (ORCID: https://orcid.org/0000-0002-3867-6909)
- José M. de la Rosa (ORCID: https://orcid.org/0000-0003-2848-9226)
- G. Liñán (ORCID: https://orcid.org/0000-0003-1839-555X)
- Gordana Jovanović Doleček (ORCID: https://orcid.org/0000-0003-1258-5176)
Institutions
- National Institute of Astrophysics, Optics and Electronics (MX)
- Instituto de Microelectrónica de Sevilla (ES)
- Universidad de Sevilla (ES)
Publication Details
- Published
- 2025-05-25
- DOI
- https://doi.org/10.1109/iscas56072.2025.11043777
- Primary Topic
- Antenna Design and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00