Sensor Correlation
Empowering Soldiers with Precision and Clarity on the Battlefield
What is
Sensor Correlation?
Sensor Correlation Counter-UAS
Sensor Correlation is the process of combining data from various sensors, such as RF detectors, radars, and cameras to provide a complete, accurate understanding of drone threats. Instead of relying on isolated data points from many sensors, sensor correlation creates a single, cohesive description of the individual physical threats in the operational environment.
Sensor Correlation in the IRIS Situational Awareness System
In the IRIS situational awareness counter-UAS system, sensor correlation is central to ensuring reliable detection and mitigation of drone threats. By consolidating data from RF drone detectors, radars, and visual systems, Iris eliminates confusion, reduces false alarms, and enhances situational awareness.
Iris and
Sensor Correlation
The MyDefence Situational Awareness System, Iris, harnesses advanced sensor correlation technology to integrate data from RF detectors, radar, and cameras. By merging these inputs into a unified and dependable threat overview, the system empowers operators with heightened detection precision and faster, more effective responses to drone threats.
RF detectors identify signals from multiple drones and consolidate them into single, clear alerts for the operator.
Directional RF signals are analyzed to estimate drone locations, enabling precise tracking even in complex environments.
Combines RF data with radar and visual input to ensure consistent tracking, even if one sensor loses the target
Correlating radar and RF data distinguishes genuine drones from false positives, such as birds or other objects.
By merging data from multiple sensors, the system increases confidence in identifying threats, providing more precise drone tracking.
Operators gain a real-time, simplified overview of drone activity, enabling faster and more informed decision-making.
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