Directional Detection of Drones Regardless of Their Spectral Signature
Netline Communications Technologies Ltd. presents 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, defense 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.”
“Innovative and adaptive algorithm with no specific data”
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.
The strategic deployment of two or more DF sensors in the covered area empowers users with precise localization abilities. This is achieved through the intersection of the two direction lines, ensuring a comprehensive and effective drone detection and localization system.
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 recognizes common factors of airborne threats, indicating their existence without needing specific data,” summarizes Palti.
