Inside Unmanned Systems

DEC 2017 - JAN 2018

Inside Unmanned Systems provides actionable business intelligence to decision-makers and influencers operating within the global UAS community. Features include analysis of key technologies, policy/regulatory developments and new product design.

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32 unmanned systems inside December 2017/January 2018 "I just don't see how you can have an effec- tive counter UAS system without at least RF detection, electro optical IR and radar on there. I see a lot of single RF solutions out there but I don't think that's enough," said Poss, who did add, "I could be wrong." Mayser, who served as a panelist from Munich, is the director of C-UAV Detection and Counter Solutions at Rohde & Schwarz, presented on radio frequency (RF) detection. He explained that 90% of drones operate in the ISM band using proprietary protocols: • Spread spectrum methods • FHSS (Frequency Hopping Spread Spectrum) • DSSS (Direct Sequence Spread Spectrum) • Wi-Fi or Bluetooth Mayser also covered radio links and de- scribed the ty pes of frequencies used by drones. Frequency bands include: • ISM band: 2.4 GHz and 5.8 GHz • Rarely in use: 433 MHz • Outdated frequencies for RCs: • 27 MHz, 35 MHz, 72 MHz (hardly used) • Other: country specific One big benef it of RF detection is early warnings. Even before a drone takes off you get an alarm as soon as the controller is switched on. Another big advantage, according to Mayser, is that it is the only sensor that gives you the position of the drone operator, and not only the drone. 1. In order to deliver RF detection you need to complete certain steps: 2. scan the frequency bands (automatic con- figurable sequencer); 3. find the best analysis window (realtime < hopper bandwidth); 4. detect the signal; automatic classification— spectrum based (complex analysis)—lim- ited/IQ based (very complex method but delivers the best possible results). While it can be challenging to detect drone signals in certain real environments, the more FEATURED WHITEPAPER: PROTECTING THE SKY Signal Monitoring of Radio Controlled Civilian Unmanned Aerial Vehicles and Possible Countermeasures This whitepaper provides insights into the use, specifi cations, and impact of Radio Controlled (RC) Unmanned Aerial Vehicles (commonly referred to as "drones"). UAVs intended for recreational use are increasingly being used for other (sometimes hostile) purposes. R&S ARDRONIS LEARNING CENTER: The R&S ARDRONIS automatic radio-controlled drone identifi cation system is a comprehensive solution with specialized capabilities for detecting, identifying, classifying, direction fi nding, recording and disrupting the remote control link to a drone. VISIT R&S ARDRONIS LEARNING CENTER AND DOWNLOAD THE WHITEPAPER, Meeting the challenges of drone monitoring and countermeasures https://www.rohde-schwarz.com/us/campaigns/ ardronis-learning-center_231049.html WEBINAR RECAP » SECURITY RISKS BY THE NUMBERS » PARTICIPANTS Good overview of the technologies and tried some of them: 4 % Good overview of the technologies available: 18 % Know some basics about the different counter drone solutions: 35 % Just getting started: 43 % How much do you know about existing counter drone solutions on the market? Other: 5 % Optical: 60 % Acoustic: 25 % RF: 86 % Radar: 69 % What are the most important detection assets of a counter UAS solution? (Choose up to three) Photo courtesy of Rohde &Schwarz.

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