Drone detection with a multistatic C-band radar
Marc Schneebeli, Andreas Leuenberger, Leon Wabeke, Kevin Kloke, Celma Kitching, Urs Siegenthaler, Peter Wellig
Abstract
Marc Schneebeli, Andreas Leuenberger, Leon Wabeke, Kevin Kloke, Celma Kitching, Urs Siegenthaler, Peter Wellig
Abstract
The multistatic active surveillance radar system SAMURAI (Swiss African MUltistatic RAdar Initiative) was tested on its drone detection capabilities during two field campaigns in Switzerland. The C-band system, consisting of one transmit and two receive nodes, was geometrically and radiometrically calibrated with a specific multistatic target simulator. GPS trajectories of a DJI Phantom 4 drone were compared to the radar detections. It was found that the radar system's inherent pointing angle and range biases can be corrected in a straightforward manner by using the virtually generated radar targets as a reference. After the corrections were applied to the radar data, deviations between the drone's GPS position and the radar detections on the order of 5 m were found.
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The multistatic active surveillance radar system SAMURAI (Swiss African MUltistatic RAdar Initiative) was tested on its drone detection capabilities during two field campaigns in Switzerland. The C-band system, consisting of one transmit and two receive nodes, was geometrically and radiometrically calibrated with a specific multistatic target simulator. GPS trajectories of a DJI Phantom 4 drone were compared to the radar detections. It was found that the radar system's inherent pointing angle and range biases can be corrected in a straightforward manner by using the virtually generated radar targets as a reference. After the corrections were applied to the radar data, deviations between the drone's GPS position and the radar detections on the order of 5 m were found.
Key concepts: Multistatic radar, Radar, Remote sensing, Bistatic radar, Radar lock-on, Drone, 3D radar, Computer science