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PRESS RELEASE
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Successful flight tests with HENSOLDT's collision warning radar for UAVs
Wednesday, 16 January 2019

The sensor solutions provider HENSOLDT has successfully concluded flight tests with its collision avoidance radar system for UAVs. This sensor is intended to improve safety in both military and civilian air traffic.

HENSOLDT has developed a demonstrator of a so-called detect-and-avoid radar system, which uses the latest radar technology to detect objects in the flight path of a UAV and to give early warning of any threat of collision following precise evaluation of the flight direction. At the same time, the sensor also assumes all the functions of a weather radar system.

In the flight tests, which were carried out on behalf of the German procurement authority BAAINBw and in collaboration with the German Aerospace Center (DLR) in Brunswick, the radar demonstrated its capabilities in a real setting, thus confirming the results previously achieved in ground tests. In test flights lasting several hours, the radar installed in a Dornier Do 228 belonging to the DLR reliably detected the test aircraft approaching at different altitudes and angles.

The detect-and-avoid radar system uses state-of-the-art AESA technology (Active Electronically Scanned Array), which allows several detection tasks to be carried out at the same time and enables objects to be detected extremely fast. It replaces the pilot's visual assessment of the situation. Thanks to its excellent detection capabilities, the multifunction radar is equally suitable for both military and civilian UAVs, e.g. for the delivery of cargo. A second series of flight tests is planned for the coming year.

Contact details from our directory:
HENSOLDT Sensors GmbH Thermal Imaging Equipment, Reconnaissance Radar, Avionics Management Systems, Airborne Reconnaissance Infrared, Moving Maps, Onboard Computers, Interceptor Fire Control Radar, Weapons Countermeasures, Flight Recorders
Related aircraft programs:
Dornier 228
Related directory sectors:
Flight and Data Management