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Anti-Jamming
Drone
The Anti-Jamming Drone features a forensics-aware, resilient communication and control framework for autonomous platforms that maintains robust operation under RF jamming, GNSS spoofing, and hostile interference.
The system integrates multi-link transport via concurrent 5G/LTE and SATCOM channels, with multi-band (Sub-GHz/GHz) dual-frequency operation featuring real-time noise-floor estimation, AI-driven frequency switching/hopping, redundant transmissions, and FPGA/ASIC-based adaptive modulation/power control across multiple selectable RF chains.
For GNSS resilience, absolute positioning initializes with GPS alongside AI-processed inertial data from accelerometers/gyroscopes, fuses via Kalman filter, and selectively forwards the lowest-variance sensor stream to the flight controller. Edge AI enables adaptive channel selection, while a binary-encoded cryptographic packet framework enhances security, power efficiency, and traffic obfuscation on edge devices.
Core Capabilities
GNSS-Denied Flight
Maintains precise navigation without external satellite signals.
Multi-Link Transport
Concurrent 5G/LTE and SATCOM continuous channel switching.
Adaptive Frequency Hopping
AI-driven rapid frequency switching based on noise-floor estimation.
Kalman Filter Fusion
Merges AI-processed inertial telemetry to provide absolute sensor certainty.
Cryptographic Packet Mapping
Binary-encoded, dynamic field reordering to enhance traffic obfuscation.
FPGA/ASIC Modulation
Hardware-level power control across multiple selectable RF chains.
Forensics-Ready Data Logs
Collects and secures intrusion telemetry for post-mission intelligence.
Mil-Spec Structural Build
Hardened platform resistant to physical and cyber-electromagnetic attacks.
Minimal-Sensor Fusion
Low-variance data streams forwarded selectively to the core flight controller.
System Architecture
Resilient Communication Layer
The communication framework is built to operate under severe adversarial conditions. By analyzing the RF spectrum continuously via AI, it avoids targeted interference dynamically, preserving the mission control link when isolated RF chains fail.
Real-Time Noise Estimation
Evaluates the noise floor instantaneously across Sub-GHz and GHz bands to identify hostile jamming patterns.
Encrypted Telemetry Obfuscation
Dynamically reorders static packet boundaries, preventing adversaries from reverse-engineering the command sequence.
Edge-AI Navigation Engine
Total GNSS denial requires internal consistency. The flight controller operates entirely independent of the global positioning network once interference is verified, utilizing local physics to calculate true absolute positioning.
Kalman Filter Processing
Uses mathematical fusion of gyroscope and accelerometer variances before sending steering directives to the rotors.
Seamless Fallback Triggers
When spoofing vectors are identified, the system discards global coordinate data instantaneously, shifting to lowest-variance internal sensor streams.
Strategic Advantages
Forensics-Ready Reporting
Unlike commercial drones, the platform maintains a cryptographically verified ledger of network intrusions and spoofing attempts, aiding post-mission intelligence gathering.
Cross-Band Redundancy
The ability to utilize concurrent satellite and terrestrial mobile frequencies ensures that no single point of failure can sever the command link from the ground station.
Uncompromised Integrity
Adaptive packet restructuring and 256-bit AES protection guarantees unauthorized commands are discarded even if communication channels are hijacked.
Autonomous Continuation
If all external links fail, the vehicle calculates the lowest-variance return vector using internal physics components to safely extract assets from the contested zone.
Defence Innovations
The Anti-Jamming Drone integrates natively with our robust suite of high-security autonomous systems.
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