Sensor Fusion
Multiple Sensors. One Operational Picture.
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What is
Sensor Fusion?
Sensor Fusion for Counter-UAS
Sensor Fusion combines data from multiple sensor technologies, including RF detection, radar and EO/IR, into one operational picture.
Instead of relying on isolated detections, sensor inputs work together to provide greater context, improve tracking and give operators a clearer understanding of the threat environment.
Sensor Fusion in Iris.
Iris brings together data from connected sensors and presents it within one common operational picture.
By fusing RF, radar and visual sensor data, Iris helps operators validate detections, maintain tracks and understand threats with greater confidence — reducing complexity and supporting faster decision-making.
Individual Sensor Inputs
Multiple sensors detect different parts of the threat environment.
One Operational Picture
Sensor Fusion combines those inputs into a single, actionable view.
Iris and
Sensor Fusion
Iris transforms data from connected sensors into a unified operational picture. By combining RF detection, radar and visual sensor inputs, operators gain greater context around detected threats, improved tracking and the intelligence needed to make faster, more informed decisions.
RF detections from multiple sensors are combined into a clearer view of activity across the electromagnetic spectrum.
Directional RF data helps estimate emitter locations and contributes to more accurate threat tracking.
RF, radar and visual sensor data are fused to create a more complete and reliable threat picture.
Multiple sensor inputs help distinguish relevant threats from unrelated objects and activity.
Sensor inputs validate one another, giving operators greater confidence in detections and tracks.
Operators gain a unified, real-time view of the threat environment for faster, better-informed decisions.
