EchoShield

Robust object classification within the radar data chain is increasingly critical to the performance of modern defense platforms and system-of-systems architectures, as it directly informs threat assessment, prioritization, and response. By leveraging advanced machine learning models to classify objects at detection range and continuously refine those classifications as targets transition into track, radar systems can provide early, high-confidence identification of drones, vehicles, or other threats.

Early and persistent classification reduces ambiguity, enables more effective sensor fusion, and allows higher-level and adjacent systems to make faster, more informed decisions. The ability to update these models through regular software updates ensures adaptability to evolving threat profiles. High-confidence classification at the sensor level enhances engagement efficiency, reduces false positives, and strengthens overall mission effectiveness in complex, dynamic environments.

EchoShield’s advanced AI/ML models define objects into one of several classes, including human, vehicle, fixed-wing, and multi-rotor.

In security environments, the economics of engagement are inherently asymmetric: attacks, such as those carried out with low-cost drones, are inexpensive, targeted, and opportunistic, while defense systems must be persistently available across wide areas, often at significantly higher cost. This imbalance makes mobility a critical attribute for sensing infrastructure, particularly radar-based drone surveillance.

Highly mobile, low-SWaP radar platforms that can operate effectively on-the-move (OTM) allow defenders to dynamically position coverage where it is needed most, rather than relying on fixed, static installations that are costly to scale and easy to bypass. OTM capability further enables continuous protection during transit, convoy operations, or rapidly evolving threat scenarios, ensuring no gaps in awareness. By combining mobility with high-performance detection and tracking, these radar systems help shift the economic balance: maximizing coverage and responsiveness while minimizing the need for dense, fixed deployments.

Every EchoShield radar is ready for on-the-move (OTM) missions – same radar, same performance. A dedicated kinematics port delivers robust INS integration.

Networking multiple radar systems into a cohesive, cooperative architecture creates a resilient, flexible sensing layer that enhances situational awareness, reduces single points of failure, and delivers system-level performance far greater than the sum of individual radars.

Multiple radars operate as a cohesive mesh, sharing data in real time to maintain continuous tracks as targets move through coverage zones—seamlessly handing off targets from one radar to another without breaking track continuity or changing Track ID.

Persistent tracking over wide areas is critical for systems that rely on stable, high-confidence data to make timely decisions. Networked radar systems also accelerate deployment by allowing modular, distributed placement of sensors—whether fixed or on-the-move—adapting coverage dynamically to mission needs.

EchoShield radars can be networked through EchoWare, which is freely available with every Software and Support package.

Commercial technology suppliers play a critical role in supporting government and defense users by accelerating innovation and delivering advanced capabilities on timelines traditional procurement models cannot match. Historically, defense acquisition has relied on lengthy requirements, bids, and delivery cycles – processes that struggle to keep pace with rapidly evolving threats like drone warfare.

Commercial providers, by contrast, use agile development, frequent software updates, and rapid iteration to field capabilities such as low-SWaP radar, AI-driven classification, and networked sensing much faster. This speed is essential to ensure relevant technology is available when needed, not years later. Additionally, commercial solutions reduce the impact of losses in contested environments: systems that are affordable, readily available, and quickly replaceable. Combined with strong commercial ingenuity, driven by competition and practical innovation, this approach offers defense organizations a more adaptive, resilient, and cost-effective path to maintaining advantage.

EchoShield radars are commercially exportable under ECCN 6A008.e.

Fully cognitive radar further enhances the modern, agile defense and security stack by enabling sensors to dynamically adapt in real time to changing environments, targets, and mission needs. Building on low-SWaP, high-accuracy, high-update-rate, and classification-capable systems, cognitive radar closes the loop between sensing, processing, and action – continuously optimizing waveforms, resource allocation, and tracking strategies based on observed conditions and system objectives.

This adaptability is especially critical in contested or cluttered environments, such as drone-dense airspace, where static sensing approaches fall short. When integrated into networked, mobile, and software-defined radar architectures, cognitive capabilities improve detection sensitivity, track quality, and classification confidence while reducing false alarms and resource waste. The result is a more resilient and intelligent sensing layer that not only keeps pace with evolving threats but actively anticipates and counters them, maximizing overall system effectiveness across the defense ecosystem.

EchoShield is the leading cognitive radar on the market.