Vortrag
  • Alexander Weinberger
Einsatz von Software Defined Radio zur Detektion und Analyse von Funksignalen ziviler Drohnen

In: U.T.SEC 2019 - Summit for Drones, Unmanned Technologies & Security

  • 2019
  • TC Freyung
  • Elektrotechnik und Medientechnik
  • DIGITAL
Beitrag (Sammelband oder Tagungsband)
  • Stefan Kunze
  • Alexander Weinberger
  • Rainer Pöschl
A Software Defined Radio Based Implementation for the Radio Frequency Analysis of Signals from Unmanned Aerial Systems
  • 2019
  • TC Freyung
  • Elektrotechnik und Medientechnik
  • DIGITAL
Beitrag (Sammelband oder Tagungsband)
  • Stefan Kunze
  • M. Schiefer
  • Alexander Weinberger
A GNU Radio Imprementation for Frequency Hopping Spread Spectrum Receiver Synchronization
  • 2019
  • TC Freyung
  • Elektrotechnik und Medientechnik
  • DIGITAL
Vortrag
  • Stefan Kunze
  • Alexander Weinberger
  • Rainer Pöschl
Concept for a Software Defined Radio Based System for Detection, Classification and Analysis of Radio Signals from Civilian Unmanned Aerial Systems

In: the 2nd URSI Atlantic Radio Science Conference (URSI AT-RASC)

  • 2018
  • TC Freyung
  • Elektrotechnik und Medientechnik
  • DIGITAL
Beitrag (Sammelband oder Tagungsband)
  • Stefan Kunze
  • Alexander Weinberger
  • Rainer Pöschl
Concept for a Software Defined Radio Based System for Detection, Classification and Analysis of Radio Signals from Civilian Unmanned Aerial Systems
  • 2018

DOI: 10.23919/URSI-AT-RASC.2018.8471398

The recent advances in the field of civilian Unmanned Aerial Systems have enabled a wide range of applications and facilitated their wide spread use. However, these systems can also pose a threat to the civilian population. As part of a research project to counter these threats, a Software Defined Radio based system for detection, classification and analysis of radio signals from civilan drones is proposed in this paper. A short look at related work, focusing on the application of machine learning techniques for the classification of radio signals is presented and a concept for the implementation of detection and classification system is proposed.
  • TC Freyung
  • Elektrotechnik und Medientechnik
  • DIGITAL