ATLAS
AI-Powered Counter-Jamming PNT
ATLAS is a next-generation Positioning, Navigation, and Timing (PNT) platform designed to improve navigation reliability through AI-driven counter-jamming, synchronized multi-receiver GNSS fusion, advanced integrity monitoring, and intelligent confidence assessment.
Unlike conventional navigation systems that rely on a single GNSS receiver, ATLAS combines multiple independent GNSS observation sources into a unified navigation solution capable of detecting and classifying jamming attacks, identifying anomalies, monitoring signal quality, and maintaining trusted situational awareness in challenging environments.
The result is a robust AI-hardened navigation platform suitable for autonomous systems, critical infrastructure, industrial automation, public safety, unmanned systems, and advanced research applications.
ATLAS serves as the resilient multi-GNSS PNT layer within the AEGIS Shield counter-UAS platform, ensuring the system maintains trusted navigational awareness in contested and GPS-denied environments.
Built for resilient PNT.
Multi-Receiver GNSS Fusion
AEGIS ATLAS continuously analyzes observations from multiple GNSS receivers operating simultaneously. By comparing independent navigation solutions, the platform identifies inconsistencies, improves confidence estimation, and generates more reliable navigation output.
Multi-Constellation Support
The system supports observations from multiple satellite navigation constellations including GPS, Galileo, GLONASS, BeiDou, and regional augmentation systems.
Precision Timing Architecture
Integrated PPS-based synchronization enables accurate time alignment between navigation sources, allowing the platform to perform advanced consistency analysis and synchronized observation processing.
AI Counter-Jamming & Integrity Monitoring
AEGIS ATLAS continuously evaluates navigation quality using AI-driven jamming detection and classification alongside integrity indicators including satellite availability, signal quality metrics, position consistency, timing coherence, and receiver agreement analysis. The platform provides confidence estimates that help operators and autonomous systems understand the reliability of navigation information in real time.
Edge Computing Architecture
Built around modern embedded computing platforms, AEGIS ATLAS performs all processing locally — including AI inference for jamming detection — reducing latency and enabling operation in disconnected or bandwidth-constrained environments.
Modular and Scalable Design
The architecture supports a variety of deployment configurations ranging from compact embedded systems to larger distributed sensor platforms.
Four core functional layers.
Observation Layer
Collects synchronized observations from multiple GNSS receivers and satellite constellations.
Integrity Layer
AI-driven jamming detection and classification. Evaluates signal quality, timing consistency, and navigation confidence metrics in real time.
Fusion Layer
Combines observations using probabilistic consensus algorithms to generate a trusted navigation solution.
Situational Awareness Layer
Provides operators and autonomous systems with navigation health indicators, confidence assessments, and anomaly notifications.
Works with AEGIS Shield.
ATLAS serves as the resilient multi-GNSS PNT layer within the AEGIS Shield counter-UAS platform, providing trusted positioning, timing integrity, and AI-driven jamming detection to the broader defence-intelligence ecosystem. When deployed with AEGIS Shield, ATLAS ensures the platform maintains navigational awareness in contested and GPS-denied environments.
Resilient PNT Layer
Provides the core positioning and timing backbone for AEGIS Shield deployments operating in RF-contested areas.
Shared AI Infrastructure
AI-driven jamming detection and classification models run on the same edge computing architecture used across AEGIS Shield.
Unified Situational Picture
Navigation health metrics from ATLAS feed directly into the AEGIS Shield operator battlemap for real-time PNT confidence.
Where ATLAS delivers.
Autonomous Systems
Support reliable navigation for autonomous vehicles, unmanned systems, and robotic platforms operating in complex and RF-contested environments.
Critical Infrastructure
Provide resilient timing and positioning services for industrial and infrastructure applications requiring assured PNT.
Public Safety
Enable dependable navigation and situational awareness for emergency response and field operations in GPS-degraded conditions.
Research and Development
Serve as an experimental platform for advanced navigation, sensor fusion, timing, AI-driven jamming classification, and integrity-monitoring research.
Smart Mobility
Support emerging transportation and intelligent mobility systems requiring enhanced navigation confidence and jamming resilience.
Designed for continuous evolution.
The AEGIS ATLAS architecture has been designed to support future integration of:
- ▸Inertial navigation systems (INS)
- ▸Visual navigation and computer vision
- ▸Additional timing sources
- ▸Distributed sensor networks
- ▸Advanced situational awareness services
- ▸AI-assisted anomaly classification
Trusted navigation through intelligent fusion.
AI Counter-Jamming Resilience
Real-time AI-driven jamming detection, classification and mitigation provides robust navigation assurance in contested RF environments.
Enhanced Situational Awareness
Continuous integrity assessment and AI-powered anomaly detection help operators understand when navigation conditions change.
Flexible Deployment
Modular architecture supports a wide range of platforms and mission profiles from compact embedded to distributed sensor systems.
Open Research Foundation
Designed to support ongoing innovation in resilient navigation, AI-based jamming countermeasures, timing, and sensor fusion technologies.
Partner with us on ATLAS.
We are engaging primes, allied program offices and commercial operators on AI-powered counter-jamming PNT for contested and denied navigation environments.
Contact the program team