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Bidyut Saha, M.Sc

Zentrum für angewandte Forschung

Institut für angewandte Informatik - Technologie Campus Freyung

Wissenschaftlicher Mitarbeiter

TCF

08551/91764-12

Sortierung:
Vortrag

  • Stefan Kunze
  • Bidyut Saha

Drone Classification with a Convolutional Neural Network Applied to Raw IQ Data

In: 3rd URSI Atlantic/Asia-Pacific Radio Science Meeting - 2022 (URSI AT-AP-RASC 2022)

Maspalomas, Gran Canaria, Spain

  • 01.06.2022 (2022)
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Stefan Kunze
  • Bidyut Saha

Drone Classification with a Convolutional Neural Network Applied to Raw IQ Data

  • (2022)

DOI: 10.23919/AT-AP-RASC54737.2022.9814170

With the increasing popularity of civilian drones, the need for technical detection and classification systems rises. In this paper a machine learning based approach for detection and classification of radio frequency signals from drones is proposed. As data source the DroneDetect_V2 data set is used. The raw IQ data is processed by a convolutional neural network, without the need for much pre-processeing or any feature engineering. With this approach an accuracy of 99 % for detection and between 72 % and 94 % for classifi-cation is reached.
  • TC Freyung
  • DIGITAL
Vortrag

  • Bidyut Saha

Artificial Intelligence-based Drone Classification using Raw IQ Data

In: Deggendorfer Wissenschaftliches Kolloquium

Technische Hochschule Deggendorf Deggendorf

  • 17.11.2022 (2022)
  • TC Freyung
  • DIGITAL