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Drone Signal Dataset

At a glance

Project leader : Dr. Matthias Nyfeler
Deputy of project leader : Dr. Stefan Glüge
Project status : ongoing
Funding partner : Federal government (Bundesamt für Rüstung armasuisse / Technologiezentrum Wissenschaft und Technologie)
Project partner : Bundesamt für Rüstung armasuisse / Kompetenzzentrum Wissenschaft und Technologie
Contact person : Matthias Nyfeler

Publications

Glüge, Stefan; Nyfeler, Matthias; Ramagnano, Nicola; Horn, Claus; Schüpbach, Christof,

2023.

Robust drone detection and classification from radio frequency signals using convolutional neural networks [paper].

In:

van Stein, Niki; Marcelloni, Francesco; Lam, H.K.; Filipe, Joaquim, eds.,

Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA.

15th International Joint Conference on Computational Intelligence (IJCCI), Rome, Italy, 13-15 November 2023.

Setubal:

SciTePress.

pp. 496-504.

Available from: https://doi.org/10.5220/0012176800003595

Open Data and Downloads

Open Data

Glüge, Stefan; Nyfeler, Matthias; Ramagnano, Nicola; Horn, Claus; Schüpbach, Christof, 2023. Noisy drone RF signal classification [Data set]. Kaggle. https://www.kaggle.com/datasets/sgluege/noisy-drone-rf-signal-classification