Solution
Low-Altitude & UAS Awareness
Understand low-altitude activity across multiple sources.
Operating context
Close to the ground the sky is crowded with small things: drones, light aircraft, birds and balloons. A radar built for high flight sees little of them, and a single camera sees only where it points.
Questions asked here
- What is moving at low altitude over this area, and from how many sources do we know it?
- Is this a UAS, a bird, or something not yet classed?
- Where are the gaps, the places no source is looking at?
What is difficult today
Small, slow objects fly low and are easily lost between sources. A report from one sensor is rarely enough to say what the object is, and an unclassed object is often treated as either nothing or an alarm.
Operational flow
Where the weight falls in this environment
- Observe
- Correlate
- Verify
- Track
- Understand
- Prioritise review
- Alert
- Record
- Review
- Improve
The weight falls on correlating and tracking: reports from different sources are related, kept as one track, and left unknown where they cannot be classed.
A worked environment state
Three moments from a synthetic scenario, in relative terms.
| Moment | What is seen | What is stated |
|---|---|---|
| 1 | A passive radar and an RF source each report something small and low | Two reports, no relationship yet |
| 2 | Their positions and times fit one path | The reports are related as a candidate track; it is not called a UAS |
| 3 | An optical source sees the area but cannot class the object | The track stays unknown, and the page says what would settle it |
| Stage | Value |
|---|---|
| 1 | Airspace |
| 2 | Sources |
| 3 | Environment |
| 4 | Evidence |
| 5 | History |
Twin and context view
The same state can be opened in the digital twin, where its layers, its sources and its record sit side by side.
What we can show today
This page claims nothing above the level of the projects it rests on.
- Passive RF Sensing NodeEvidence level: E1 · Architecture Defined
- Passive Coherent Location (PCL) RadarEvidence level: E1 · Architecture Defined
- Drone Detection & Airspace Intrusion IntelligenceEvidence level: E0 · Concept
- Near-Ground Airspace Intelligence NetworkEvidence level: E0 · Concept
What this does not claim
- Classing an object as a UAS is stated as a goal of the design, not as a result that has been measured.
- No range, detection rate or false-alarm rate is stated.
- Near-ground coverage depends on terrain and on where sources stand; the design does not remove blind spots, it records them.
Responsible positioning
AIR NEXUS describes what is seen and how sure it is. It does not classify beyond its evidence and it does not act on a track. What to do about an object remains a decision for the responsible authority.
Projects behind this
- Passive RF Sensing NodeObserve the radio-frequency environment without becoming another transmitter.
- Passive Coherent Location (PCL) RadarAirspace awareness from signals already moving through the environment.
- Drone Detection & Airspace Intrusion IntelligenceDetect activity. Build context. Preserve the evidence behind the airspace state.
- Near-Ground Airspace Intelligence NetworkBuild a coherent airspace state where terrain, structures and clutter make every observation harder to interpret.