Netline Communications Unveils Novel Approach to Drone Detection with its Non-Database Direction Finding Sensor

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Tel Aviv: Israeli companies have accelerated their efforts in order to find ways to counter the imminent and growing armed drones threat. Netline Communications has unveiled a novel approach to drone detection with its new non-database direction-finding (DF) sensor. Netline’s new development is designed to detect all drone threats in the covered area – including various non-standard and DIY drones, which are the most elusive threat in recent war zones and conflict areas.

“Netline is stepping up to meet the growing field demands for a comprehensive system that can identify and locate all potential drone threats,” asserts Shai Palti, Netline’s CEO. “As the drone industry evolves, defence forces face new and complex challenges. Netline’s new approach provides our clients with a robust solution for detecting, locating, and mitigating every threat in the spectral area, even if it’s a new drone with unknown spectral signatures or communication links.”

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The new version of Netline’s DF sensor is based on three detection steps. First, the sensor scans the spectrum for all radio frequencies (RF) in the relevant bands, then separates targets from the spectral noisy environment using a hybrid algorithm, and finally tracks the suspicious targets to define their threatening level according to different parameters.

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The strategic deployment of two or more DF sensors in the covered area empowers users with precise localisation abilities. This is achieved through the intersection of the two direction lines, ensuring a comprehensive and effective drone detection and localisation system.

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These abilities join Netline’s battle-proven drone mitigation systems. Based on SDR technology, Netline’s jammers disrupt the communication between the drone and its operator, block GNSS signals, and cover all potential drone frequencies.

“At Netline, we constantly learn and monitor the evolving threats in different war zones around the world to develop critical and rapid solutions. Our R&D teams have developed this innovative and adaptive algorithm that recognises common factors of airborne threats, indicating their existence without needing specific data,” summarises Palti.

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