Tekever AR3 Evo Drone Now Detects Radars Without Emitting Signals

TEKEVER, a European provider of advanced AI-based autonomous systems, and Quadsat have successfully conducted flight integration tests of the SpectraLoc payload aboard the AR3 EVO tactical UAS, marking a key milestone in validating interoperability between Quadsat’s technology and TEKEVER’s modular architecture.

Quadsat, a Danish company, specializes in long-range electronic warfare payloads with advanced radio frequency (RF) sensing capabilities. Its systems can detect and geolocate hostile emitters deep behind enemy lines or at sea. The trials demonstrated the AR3 EVO’s ability to operate effectively with SpectraLoc during active flight. Designed to be platform-agnostic and portable across multiple UAS platforms, the payload provides a strong foundation for RF detection and geolocation.

This integration enhances the transformation of electromagnetic data into actionable intelligence, enabling operators to better understand complex electromagnetic environments. The system allows the drone to detect, identify, and locate radar systems passively, without emitting signals, preserving a low observable profile. The payload is housed within a radio-transparent dome beneath the aircraft’s fuselage.

Quadsat’s technology has already seen operational use in Ukraine, where SpectraLoc has supported the identification of air defense and counter-battery radar systems. The AR3 EVO builds on TEKEVER’s prior experience in Ukraine, reflecting iterative improvements based on battlefield performance.

By enabling airborne electromagnetic intelligence collection, the system reduces reliance on costly ground-based infrastructure and shortens the time from detection to action. This strengthens operational effectiveness while supporting forces with timely, accurate intelligence.

Both companies emphasize an open, modular approach, allowing rapid integration of best-in-class sensors without extensive platform redesign. Ongoing collaboration will focus on further testing and refinement, advancing scalable, mission-ready autonomous systems capable of meeting evolving operational demands.

Sources: TEKEVERQuadsatUNITED24MEDIA

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