Imagine standing in an airport airspace security control room on a busy afternoon. Air traffic is moving smoothly, every second accounted for. Then, an unidentified drone appears on a radar screen. A few seconds later, another alert pops up, this time from an RF sensor. Are they the same drone or two separate ones? The operator hesitates. The radar says one thing, the RF system another. Every moment spent reconciling those data streams is a moment that matters.
That operational uncertainty and hesitation is exactly what D-Fend Solutions set out to eliminate.
Advanced airspace security depends on multiple sensors working together. Each brings unique strengths, along with inherent limitations. A radar can spot a drone that flies “silently” without any active RF signal, but it may mistake a bird or reflection for a threat. EO/IR adds visual confirmation, though it struggles in bad weather or low light and requires a clear line of sight. Acoustic sensors can listen for drone activity, but the sound of engines or crowd noise easily masks their increasingly quiet signals.
RF-Cyber offers the most pinpoint accuracy, detecting and classifying drones through their control signals, but site security may also seek to protect against rare “dark” or radio silent drones beyond the cyber knowledge base.
Each sensor fills a gap left by another. Together, they tell the full story of what’s happening in the sky. The problem has never been the sensors – it’s the challenge of turning their many “voices” into one clear picture.

Integrating multiple detection streams into a single command environment is far from simple. The technical challenge is complex: every sensor “speaks” a different “language,” with its own data format, timing, and confidence levels. Engineers must build bridges, middleware, and calibration routines to correctly collect the different streams in the command system. Then comes the much greater human challenge. Even after all the integration work is done, the operator must still interpret multiple feeds, align them mentally, and decide if two detections represent one drone or two. It’s a constant balancing act between vigilance and overload. Every redundant alert, every false alarm, and every second lost can change the outcome of a mission.
In the drone detection phase of Counter-UAS, the goal is clear: one drone, one icon, one response path.
SmartAir, the hardware high-computing unit with the AI fusion engine, inside EnforceAir PLUS, was designed to make that goal a reality. It automatically calibrates radar, aligns all sensor inputs, and fuses radar and RF-Cyber data into a single operational picture –without operator workload or manual correlation.
The counter-UAS sensor fusion system knows when two detections refer to the same target and merges them into one precise icon on the GUI, complete with range, heading, speed, and identification. No more guessing, no more duplicate tracks. The operator sees exactly what’s in the air, where it is, and who controls it.
Unlike other sensor combinations that rely on probabilities, SmartAir’s fusion is anchored in RF-Cyber’s certainty. RF-Cyber has no false alarms by definition – when it detects a drone, the drone is there, 100 percent. This foundation of verified detection ensures that once radar and RF-Cyber are fused, the result is not some averaged probability but a confirmed reality. By contrast, fusing two sensors that both carry false-alarm potential still leaves uncertainty, often requiring operator judgment to confirm a real threat. SmartAir eliminates that guesswork, creating an operational picture that operators can trust completely.
If a target appears in only one data stream – for instance, a radar-only detection – SmartAir flags it clearly as such. Every piece of information remains transparent and traceable. It’s clarity by design.
What used to take days of setup now takes minutes. Automatic radar calibration means teams can deploy EnforceAir PLUS quickly. SmartAir reduces the operators’ cognitive load, letting them focus on decisions rather than data. Its AI can recommend the best response or carry it out automatically if configured – closing the gap between detection and action.
Because SmartAir combines dedicated hardware with an AI-driven software layer, the platform can evolve with the threat landscape by updating fusion logic, threat models, and sensor integrations over time, ensuring it stays ahead of tomorrow’s drones while relying on high-performance hardware.
SmartAir turns the complex into the simple, the uncertain into the clear. It gives operators what they’ve always needed: confidence.
The benefits go beyond confirmation. Fusing radar with RF-Cyber produces a richer track picture, including flight path, speed changes, and maneuvering patterns that RF-Cyber alone cannot provide. The result is not just detection but a continuous, real-time understanding of the drone’s behavior that strengthens situational awareness and informs response planning.
The skies are busier and riskier than ever, but clarity doesn’t have to be complicated. With SmartAir fusion, EnforceAir PLUS delivers AI-driven, multilayer counter-UAS sensor fusion that empowers teams to act faster, smarter, and with complete situational control.
See the difference clarity makes. Contact us today to schedule a live demo and experience how SmartAir transforms EnforceAir PLUS into the ultimate fusion of intelligence and defense.
Counter-UAS sensor fusion combines multiple detection layers, such as radar and RF-Cyber, into a single, unified operational picture that represents one drone as one track with one response path.
Without fusion, operators must manually reconcile multiple alerts from different sensors, increasing cognitive load and uncertainty. Counter-UAS sensor fusion removes duplicate tracks and presents a clear, trusted view of the airspace.
SmartAir hardware and its AI-based software engine, embedded in EnforceAir PLUS, automatically aligns sensor inputs and fuses radar and RF-Cyber detections into one precise track without operator workload or manual correlation.
RF-Cyber detection is anchored in verified drone communication links. When RF-Cyber identifies a drone, the detection is confirmed, allowing fused sensor data to represent operational reality rather than probability.
Yes. By fusing radar motion data with RF-Cyber identification, counter-UAS sensor fusion provides continuous insight into flight paths, speed changes, and maneuvering patterns, strengthening real-time situational awareness.