This post is also available in:
עברית (Hebrew)
The growing use of small, low-cost drones is creating new challenges for air defense systems. Many of these platforms are difficult to detect using traditional radar, especially when flying at low altitude or in cluttered environments. At the same time, emitting radar signals can reveal the position of defended assets, which is considered an unwanted trade-off in sensitive or contested scenarios.
A new counter-drone system called SECTR (by Talon Avionics) is designed to address these limitations by shifting the detection approach from active emissions to passive sensing. Instead of relying solely on radar, the system uses acoustic sensors to identify drones based on their sound signatures. By listening rather than broadcasting, it can detect nearby threats without exposing its own location.
According to NextGenDefense, the system is built around a modular launcher architecture that can be scaled depending on operational needs. A single configuration includes multiple launch tubes controlled from one command unit, but the design allows expansion to much larger arrays. This enables deployment in both mobile and fixed roles, from convoy protection to securing infrastructure sites.
Detection is handled through a layered approach. Acoustic sensors identify drone motors at close range (up to 100 meters), while radar extends coverage to greater distances (between 200 and 1,000 meters). A fusion engine combines these inputs, using artificial intelligence to classify targets and determine threat levels. This allows the system to distinguish between different types of aerial objects and respond accordingly.
Once a threat is confirmed, interceptors are launched automatically. Each interceptor uses an onboard microphone array and beamforming techniques to track the target’s sound in flight. AI processing filters out background noise such as wind or platform interference, maintaining accuracy during engagement. The system is designed to move from detection to interception in under a second, supporting rapid response against fast-moving threats.
From a defense perspective, passive detection methods offer a practical advantage in environments where emissions must be minimized. Systems that can operate quietly while still identifying and neutralizing threats are particularly relevant for forward bases, convoys, and high-value installations.
As drone threats continue to evolve, combining acoustic sensing, AI-driven classification, and rapid interception reflects a broader shift toward more adaptable and less detectable air defense solutions.
