When Looking for a counter drone solution, the drone detection technology phase has a major importance. Many of those systems available in the market (radars, for example) cannot differentiate between drones, birds, small planes, etc. This is the reason why in most cases, a single sensor is not reliable enough, and other detection means are used such as radars, optical sensors, acoustic sensors and more.
RF analyzers are based on a more precise detection technique. RF sensors can detect the radio communication between the drone and its controller. Despite the advantages of an RF based detection, it brings a different type of challenges.
Operating in unpopulated, uncrowded areas RF transmission is easy to distinct, making drone detection and mitigation relatively easier. When trying to utilize EW countermeasures in spectrally saturated environment such as urban areas, it is exceptionally challenging to detect and identify unauthorized drone communication.
Urban areas with a high population density and buildings, require a much more sophisticated, surgical solution, being highly congested. One of the main challenges when facing RF based defense, is accurately identifying the threat amongst multitude transmissions & land-based obstacles, and defeating it without interfering the surrounding spectral activities such as BTS’, Wi-Fi transmissions, etc.
Netline’s DroneNet platform introduces a high-accuracy, fully passive Detection & identification segment. Along with the DroneNet’s Tracking & Localization and Mitigation Segments, it provides a holistic solution to counter drones.
Netline’s passive drone detection techniques are based on continuous analysis of all radio transmissions in the area by using RF based sensors. The DroneNet system covers all bands used by commercial drones – 400MHz, 900MHz, 2.4GHz and 5.8GHz. Spectral signatures of all commercially available drones are preloaded into the system, using as its database. During the detection & identification phase, DroneNet scans for activity patterns corresponding to the stored drones’ communication signatures. Once a match is found the C4I console alerts a drone has been detected, as well as provide its exact type & model.
Utilizing an SDR SIGINT receiver enable to detect drones based on their spectral signature, being completely agnostic to the drone’s protocol data. This practice results in a fast-evolving signature database and reliable yet rapid drone detection.
Unlike different radars and other means commonly used, our Detection segment is undetectable, being completely passive, maintaining particularly low rate of false alarms due to Netline’s identification technology.
DroneNet also includes a Wi-Fi drone sensor, enabling the detection & identification of 2.4GHz Wi-Fi drones by analyzing the Wi-Fi protocol.
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