Submissions for: Classify RF Signals Using AI
December 4, 2025 ยท View on GitHub
| # | Submission | Links |
|---|---|---|
| 1 | Deep Learning Classification of WLAN and Zigbee Signals A MATLAB deep learning classifier identifies Zigbee and WLAN signals from spectrogram images, supporting synthetic generation and live classification using an ADALM-PLUTO SDR. Authors: Arad Soutehkeshan Affiliation: University of Greenwich Submission Date: 2025-08-12 |      |
| 2 | Spectrogram Semantic Segmentation for ISM Band RF Signal Classification A deep learning semantic segmentation network classifies overlapping WLAN, Bluetooth, ZigBee, and SmartBAN signals in the ISM band, using synthetic spectrograms for training and evaluation with real SDR captures. Authors: Nicola Gallucci, Giacomo Aragnetti, Matteo Malagrin Affiliation: Polytechnic of Milan Submission Date: 2025-07-18 | |
| 3 | Real-time RF Signal Classification for Interference Detection This project classifies real-time WiFi and Bluetooth RF signals using a machine learning model, developed in MATLAB with Adalm Pluto SDRs, to detect interference. Authors: Aswin Sankesh G S, Balavadhana B, Ganeshkumar V, Velmurugan P G S Affiliation: Thiagarajar College of Engineering Submission Date: 2024-03-15 | |