Passive RF airspace awareness
Know what's in your airspace.
Three independent RF sensing paths. One locally processed platform. monitors DJI DroneID, Broadcast Remote ID and FPV/RF activity without transmitting into the airspace.
- Passive RF
- Three sensing paths
- Local processing
- No cloud required
- Real-time monitoring
- Self-monitoring
passive detection. clearer skies.
Engineering validation
Core sensing architecture operational. Protocol and field-performance validation ongoing.
Detections
ScanningAirspace clear. Scanning.
Illustrative loop. Simulated tracks shown for demonstration.
Interface simulation
Current sensing paths, one operator interface.
This simulated interface demonstrates how concurrent RF observations, supported protocol information and system state can be presented locally. It does not represent measured detection range or live-aircraft test data.
Detections
Airspace clear. Scanning.
Illustrative loop. Simulated tracks shown for demonstration.
Sensing architecture
Three independent ways to see the RF environment.
DJI DroneID
Dedicated passive SDR processing for supported DJI DroneID transmissions, designed to extract aircraft identity and telemetry when available.
DJI sensing hardware and processing path integrated. Live-aircraft telemetry validation underway.
Broadcast Remote ID
Dedicated dual-band Wi-Fi and Bluetooth monitoring for Broadcast Remote ID transmissions from compliant aircraft.
Remote ID receiver integrated across 2.4 GHz, 5 GHz and Bluetooth monitoring paths. Live-aircraft validation underway.
FPV / RF
Continuous passive monitoring across common 5.8 GHz FPV frequencies to identify RF activity associated with video-control environments.
56-channel 5.8 GHz RF scanning, adaptive noise-floor measurement and real-time signal detection operating on current hardware.
What three means
Three sensing paths. One platform.
Each sensing path operates independently, allowing SIGNAL³ to observe different classes of drone-related RF activity simultaneously.
Detect. Correlate. Confirm.
The SIGNAL³ architecture is being developed toward correlation of independent observations into confidence-scored aircraft tracks, allowing multiple sensing paths to reinforce a single detection rather than simply producing separate alerts.
Operator interface
Built as a field appliance, not just an RF receiver.
SIGNAL³ combines sensing, system health, diagnostics and local configuration through a purpose-built operator interface running directly on the unit.
Sensor status
Live state of each RF sensing subsystem.
RF activity
Real-time 5.8 GHz spectrum and detection information.
System health
CPU, memory, storage, uptime and thermal monitoring.
Device health
Sensor faults and recovery status surfaced directly to the operator.
Local positioning
GNSS-based unit positioning architecture with manual fallback.
Wi-Fi management
Local network scan, connection and field provisioning.
Event history
Local detection and event records without a required cloud service.
Self-monitoring
A detector that monitors itself.
A drone detector is only useful if the operator knows when part of it stops working. SIGNAL³ continuously monitors its sensing hardware and system state, attempts recovery from selected failures, and surfaces actionable fault information through the operator interface.
Self-monitoring with automated first-line recovery.
Local by design
The detection system does not need the cloud.
Core SIGNAL³ sensing and detection processing runs locally on the unit. No cloud service, external API or licensing server is required for the three sensing paths to operate. Detection records remain local to the system.
- Local RF processing
- Local operator interface
- Local detection records
- No required cloud telemetry
- No required internet connection for core sensing
Online map tiles require internet access unless map data has been cached locally.
Complementary sensing
Passive RF and radar see the problem differently.
Passive RF, SIGNAL³
- Listens rather than transmitting
- Can extract identity and telemetry from supported protocols
- Compact RF sensing architecture
- No intentional RF emission from the detector
- Suitable as a complementary airspace-awareness layer
Radar
- Actively detects physical objects through reflected RF energy
- Does not depend on a drone transmitting
- Can detect RF-silent targets
- May require larger infrastructure depending on system design
These technologies are complementary. SIGNAL³ is designed as the passive RF intelligence layer within an airspace-awareness architecture.
Passive RF detection has different strengths.
Many drones emit RF energy during operation through control links, video transmission, Remote ID or manufacturer-specific protocols. SIGNAL³ is designed to monitor supported RF activity without transmitting into the airspace itself.
A completely RF-silent autonomous aircraft may not be detectable by passive RF alone. For high-security applications, RF detection can form one layer within a wider sensor architecture incorporating technologies such as radar or EO/IR.
Capability status
Capability & validation status
We show exactly what the system has proven and what engineering is currently validating.
- Concurrent three-sensor monitoring
- 5.8 GHz RF/FPV energy detection
- Local operator dashboard
- Local system-health monitoring
- Sensor watchdog and fault handling
- Wi-Fi configuration and provisioning
- Air-gapped core detection
- Local event logging
- DJI DroneID live-aircraft telemetry
- Broadcast Remote ID live-aircraft decode
- DJI O4 presence detection
- GNSS automatic self-location
- Protocol-specific range and performance data
- FPV signal classification and false-positive reduction
- Unified multi-sensor track model
- Cross-sensor correlation
- Confidence-scored detections
- CoT / TAK integration
- Expanded API and WebSocket output
- Evidentiary-grade event logging
- Authenticated and encrypted access
- Signed field updates
- Multi-node operation
- Broader telemetry and control-link detection
Who it's for
Sites where unknown drones matter.
Critical infrastructure
Add passive RF awareness around energy, water, communications and industrial sites without introducing an intentional RF emission.
Corrections
Observe RF drone activity, recurring patterns, supported transmitted identity or location information, and local event history.
Airports
Provide a complementary passive RF layer alongside established aviation safety and airspace-monitoring procedures.
Stadiums and events
Give event teams local awareness of supported drone-related RF activity near temporary or high-density venues.
Public safety and government
Support situational awareness with local processing, system health visibility and records for later review.
Private security and estates
Monitor supported RF activity around a defined site without claiming attribution or mitigation authority.
Clear boundaries
What SIGNAL³ is. What it isn't.
What it is
- + Passive RF sensing
- + Local processing
- + Multi-sensor architecture
- + Drone and RF situational awareness
- + Designed for field deployment
What it isn't
- − A jammer
- − A takeover system
- − A kinetic countermeasure
- − Radar
- − A guarantee of detecting RF-silent aircraft
Detection first. Decisions stay with the operator.
Designed for secure deployment.
SIGNAL³ is being engineered toward authenticated local access, encrypted communications, signed software updates and hardened field deployment.
Production hardening roadmap
- + Authenticated operator access
- + Role-based controls
- + Encrypted local communications
- + Signed update packages
- + Rollback protection
- + Protected configuration
- + Auditable software versions
Multi-node architecture
The SIGNAL³ architecture is being developed toward multi-node deployments in which geographically distributed sensors contribute to a common operating picture.
Wider-area RF geolocation remains a longer-term research and development direction.
Product development
Engineering roadmap
Current
Core sensing applianceThree independent RF sensing paths running concurrently, local operator interface, health monitoring, recovery logic and air-gapped processing.
Validation
Turn capability into measured performanceDJI and Remote ID live-aircraft validation, O4 presence validation, GNSS validation, field range characterization, FPV signal qualification and environmental testing.
Next
Correlate and integrateUnified track model, multi-sensor correlation, confidence scoring, evidentiary event records and CoT, TAK and API integration.
Expansion
Broader RF awarenessAdditional telemetry and control-link families, multi-node operation and expanded third-party sensor interoperability.
Product views
Built hardware. Field software.
A physical field appliance supported by locally running operator software.
Exterior product photography
Reserved for verified product media
Installed field unit
Reserved for verified product media
Actual operator dashboard
Reserved for verified product media
Technical FAQ
Direct answers.
Does SIGNAL³ transmit?
No. Its detection architecture is passive and receive-only.
Does SIGNAL³ require the cloud?
No for core sensing. Core processing occurs locally on the field unit.
Can SIGNAL³ detect every drone?
No passive RF system can guarantee detection of a completely RF-silent aircraft. SIGNAL³ focuses on supported RF-emitting drone activity.
Can SIGNAL³ locate the operator?
Where supported transmissions contain control-station, operator-location or takeoff-location information and SIGNAL³ successfully decodes it, that information can be displayed.
Does SIGNAL³ replace radar?
Not necessarily. Passive RF and radar provide different information and can complement one another.
Does SIGNAL³ jam drones?
No. SIGNAL³ is currently a detection and situational-awareness platform.
Can multiple SIGNAL³ units work together?
Multi-node aggregation is on the product roadmap. Current engineering validation is focused on single-node sensing.
Does SIGNAL³ work without internet?
Core sensing does. Online mapping requires connectivity unless local map data is cached.
See SIGNAL³ in operation.
Request a technical demonstration of the sensing platform, operator interface and current detection capabilities.
Request a demoDiscuss field evaluation