Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27185
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dc.contributor.authorHorn, Claus-
dc.contributor.authorNyfeler, Matthias-
dc.contributor.authorMüller, Georg-
dc.contributor.authorSchüpbach, Christof-
dc.date.accessioned2023-03-02T16:49:38Z-
dc.date.available2023-03-02T16:49:38Z-
dc.date.issued2022-10-19-
dc.identifier.isbn978-84-09-45050-3de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/27185-
dc.description.abstractWe develop a multi-timescale deep learning algorithm to detect drones from radio signals. While previous approaches focused on the analysis of high-frequency radio data alone we integrate signals from the higher timescale of the drone communication protocol in an end-to-end architecture. To this end, we develop a new meta-CNN layer, which generalizes the idea of the standard CNN (which slides a single, fully connected kernel along a higher-level input) towards arbitrarily complex kernel models. To detect higher timescale patterns our system uses an LSTM layer in the top layers. As a result, our model is able to extend drone identification abilities significantly toward very small SNRs.de_CH
dc.language.isoende_CH
dc.publisherIFSA Publishingde_CH
dc.rightsNot specifiedde_CH
dc.subjectDrone signal detectionde_CH
dc.subjectDeep learningde_CH
dc.subjectMulti-timescale modelingde_CH
dc.subject.ddc629: Luftfahrt- und Fahrzeugtechnikde_CH
dc.titleDrone radio signal detection with multi-timescale deep neural networksde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.21256/zhaw-27185-
zhaw.conference.details4th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), Corfu, Greece, 19-21 October 2022de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end143de_CH
zhaw.pages.start140de_CH
zhaw.parentwork.editorYurish, Sergey Y.-
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.title.proceedingsProceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligencede_CH
zhaw.webfeedBio-Inspired Modelling and Learning Systemsde_CH
zhaw.funding.zhawDrohnenalarmde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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Horn, C., Nyfeler, M., Müller, G., & Schüpbach, C. (2022). Drone radio signal detection with multi-timescale deep neural networks [Conference paper]. In S. Y. Yurish (Ed.), Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence (pp. 140–143). IFSA Publishing. https://doi.org/10.21256/zhaw-27185
Horn, C. et al. (2022) ‘Drone radio signal detection with multi-timescale deep neural networks’, in S.Y. Yurish (ed.) Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence. IFSA Publishing, pp. 140–143. Available at: https://doi.org/10.21256/zhaw-27185.
C. Horn, M. Nyfeler, G. Müller, and C. Schüpbach, “Drone radio signal detection with multi-timescale deep neural networks,” in Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence, Oct. 2022, pp. 140–143. doi: 10.21256/zhaw-27185.
HORN, Claus, Matthias NYFELER, Georg MÜLLER und Christof SCHÜPBACH, 2022. Drone radio signal detection with multi-timescale deep neural networks. In: Sergey Y. YURISH (Hrsg.), Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence. Conference paper. IFSA Publishing. 19 Oktober 2022. S. 140–143. ISBN 978-84-09-45050-3
Horn, Claus, Matthias Nyfeler, Georg Müller, and Christof Schüpbach. 2022. “Drone Radio Signal Detection with Multi-Timescale Deep Neural Networks.” Conference paper. In Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence, edited by Sergey Y. Yurish, 140–43. IFSA Publishing. https://doi.org/10.21256/zhaw-27185.
Horn, Claus, et al. “Drone Radio Signal Detection with Multi-Timescale Deep Neural Networks.” Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence, edited by Sergey Y. Yurish, IFSA Publishing, 2022, pp. 140–43, https://doi.org/10.21256/zhaw-27185.


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