Thermal Infrared Sensor Design Considerations for Counter-UAS Defense

Small, low-cost drones push EO/IR systems to the edge of visibility. This whitepaper explores how sensor architecture, signal-to-noise ratio, and advanced image signal processing define real-world Counter-UAS detection, tracking, and identification performance.
Jan. 28, 2026

As the drone threat rapidly expands, effective Counter-UAS defense depends on sensor performance at extreme detection limits. This whitepaper examines key EO/IR design considerations, including sensor selection, optics, and SNR constraints when targets occupy only a few pixels. It addresses the challenges faced by traditional MTI and AI-based detection at long range and highlights how advanced image signal processing improves stability, reduces false alarms, and extends actionable detection and tracking range.