Passive Sensor Processing and Data Fusion for Drone Detection is a report written by Snezhana Jovanoska, Benjamin Knoedler, Devanand Palur Palanivelu, Luisa Still, Macarena Varela, Torsten Fiolka, Marc Oispuu, Christian Steffes, and Wolfgang Koch.

Detecting micro drones poses challenges due to their small sensor signature and high speeds. To address this, we propose a solution using a combination of heterogeneous sensors and sensor data fusion. This includes an RF sensor for UAV uplink and downlink, an acoustic sensor for rotor noise, passive radar utilizing the mobile network, and multi-hypotheses tracking for data fusion.

Publication Date- Unknown

Passive Sensor Processing and Data Fusion for Drone Detection contains the following major sections:

  • Introduction
  • Radio Signal Direction Finding
  • Acoustic UAV Detection and Bearing Estimation
  • Passive Radar
  • Fusion Engine
  • Conclusion
  • References

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Authors- Snezhana Jovanoska, Benjamin Knoedler, Devanand Palur Palanivelu, Luisa Still, Macarena Varela, Torsten Fiolka, Marc Oispuu, Christian Steffes, and Wolfgang Koch.

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Post Image- Airborne DJI Mavic (Image Credit: envatoelements by stevanovicigor)