Echodyne and Moog demonstrate reconfigurable weapon platform for counter-drone missions at U.S. Army exercise
AI Analysis
Echodyne and Moog successfully demonstrated a reconfigurable counter-UAS platform, integrating radar, AI, and existing kinetic weapon systems during a U.S. Army exercise. The system, tested at Fort Hood, demonstrated rapid detection, tracking, and engagement of small drones in under three seconds. This approach offers a cost-effective method to upgrade existing military assets for drone defense.
Key Takeaways
- Moog's Reconfigurable Integrated-weapon Platform (RiwP) and Echodyne's EchoShield radar were central to the demonstration.
- The system achieved detection, tracking, and engagement of Group 1-3 UAS threats in under three seconds.
- AI-based passive detection, autonomous targeting, track reacquisition, and multi-object targeting were assessed.
- The demonstration identified and addressed capability gaps in a simulated battlefield environment.
- The solution aims to convert existing kinetic weapon stations into effective counter-UAS systems, reducing procurement costs.
Why It Matters
This demonstration highlights a shift towards leveraging existing military hardware and integrating advanced technologies like AI and radar for cost-effective counter-drone capabilities. The ability to rapidly adapt existing weapon systems to address the drone threat is crucial as UAS proliferation continues. This approach could significantly impact defense procurement strategies and force protection measures.
Echodyne and Moog demonstrate reconfigurable weapon platform for counter-drone missions at U.S. Army exercise
Published: 2026-05-20T22:11:27+02:00
Summary
Echodyne and Moog have demonstrated an integrated counter-unmanned aerial systems capability during a U.S. Army exercise. The demonstration, named Operation Condor Rebirth, involved Moog's Reconfigurable Integrated-weapon Platform (RiwP) and Echododyne's EchoShield radar. The companies demonstrated how advanced radar, control systems and artificial intelligence can upgrade existing kinetic weapon stations for counter-drone missions. The test combined AI targeting, wireless fire control and radar integration across mission equipment capabilities and assessed AI-based passive detection, autonomous targeting, track reacquisition and multi-object targeting. The exercise identified critical capability gaps in a simulated battlefield environment and demonstrated the cost-effective ability to convert existing kinetic weapons into counter-UAS systems.
Story
Echodyne and Moog demonstrate reconfigurable weapon platform for counter-drone missions at U.S. Army exercise # Echodyne and Moog demonstrate reconfigurable weapon platform for counter-drone missions at U.S. Army exercise By Martin Chomsky (Defence Industry Europe) Land| May 20, 2026 Photo: Echodyne. Echodyne and Moog have demonstrated an integrated counter-unmanned aerial systems capability using Moog’s Reconfigurable Integrated-weapon Platform and Echodyne’s EchoShield radar during a U.S. Army exercise. The test showed how advanced radar, control systems and artificial intelligence can upgrade existing kinetic weapon stations for counter-drone missions. The Operation Condor Rebirth demonstration was conducted at Fort Hood, Texas, in late March. The team included Moog for RIwP and AI targeting, Echodyne for EchoShield radar, and Picogrid for its Legion data platform for connected mission systems. The demonstration focused on rapid integration of new systems into a secure Army network and validation against simulated threats in live-fire scenarios. The companies said the system detected, locked on with precision tracking and successfully engaged Group 1-3 UAS threats in less than three seconds. The test combined AI targeting, wireless fire control and radar integration across mission equipment capabilities. It also assessed AI-based passive detection, autonomous targeting, track reacquisition and multi-object targeting. According to the companies, the exercise identified and quickly corrected critical capability gaps in a simulated battlefield environment. It also showed that combining precision data with AI firing-solution computation can provide a cost-effective way to convert existing kinetic weapon stations into counter-UAS systems. Moog’s modular weapon platform included an edge computer, Echodyne’s EchoShield radar for precision tracking and cabling to integrate with existing U.S. Army turreted weapon stations. The AI targeting sy