1st Cavalry Division tests 'Golden Shield' counter-drone system
AI Analysis
The 1st Cavalry Division conducted live-fire testing of the 'Golden Shield' counter-drone system at Fort Hood, Texas, as part of Project Golden Shield. This exercise integrated autonomous counter-UAS technologies, including sensors and effectors, to enhance the protection of armored formations against small unmanned aerial systems.
Key Takeaways
- 1st Cavalry Division tested 'Golden Shield' counter-drone system.
- Exercise conducted from April 7-9, 2026, at Fort Hood, Texas.
- Integration of autonomous sensors and kinetic/non-kinetic effectors.
- Collaboration with Army DEVCOM and industry partners.
- Focus on reducing sensor-to-shooter timeline and cognitive load.
Why It Matters
The successful testing of the 'Golden Shield' system represents a significant advancement in counter-UAS capabilities, crucial for protecting armored units from the increasing threat of small drones. This development enhances battlefield effectiveness by automating threat detection and response, thereby improving operational efficiency and soldier safety.
1st Cavalry Division tests 'Golden Shield' counter-drone system
1st Cavalry Division tests 'Golden Shield' counter-drone system
By 1st Cavalry DivisionApril 14, 2026
Maj. Gen. Thomas M. Feltey, 1st Cavalry Division Commanding General, Command Sgt. Maj. Levares J. Jackson, 1st Cavalry Division Command Sergeant Major, and distinguished visitors from 1st Cavalry Division and industry leaders are briefed on the capabilities tested by civilian organizations affiliated with DEVCOM Ground System Vehicles Center, or GSVC, during Project Golden Shield on Fort Hood, Texas, April 9, 2026. This event is the experimentation and testing phase of Project Golden Shield, where capability providers are testing out new counter-UAS technologies in a field environment for the first time, with the goal of improving their systems with feedback from the Troopers and Soldiers that would be implementing them on the modern battlefield. ... READ MORE
Maj. Gen. Thomas M. Feltey, 1st Cavalry Division Commanding General, Command Sgt. Maj. Levares J. Jackson, 1st Cavalry Division Command Sergeant Major, and distinguished visitors from 1st Cavalry Division and industry leaders are briefed by Mr. Alfred Grein, Executive Director for Research and Technology Integration for the U.S. Army Combat Capabilities Development Command (DEVCOM) Ground Vehicle Systems Center, or GSVC, on the capabilities tested by civilian organizations affiliated with DEVCOM GSVC during Project Golden Shield on Fort Hood, Texas, April 9, 2026. This event is the experimentation and testing phase of Project Golden Shield, where capability providers are testing out new counter-UAS technologies in a field environment for the first time, with the goal of improving their systems with feedback from the Troopers and Soldiers that would be implementing them on the modern battlefield. ... READ MORE
FORT HOOD, Texas — The 1st Cavalry Division has completed the latest phase of its counter drone experimentation, a live-fire exercise from April 7-9 testing cUAS systems for its “Golden Shield” counter-drone concept for an armored formation. This significant step in the division's Pegasus Charge initiative incorporated autonomous cUAS battlefield effectors for the first time, advancing efforts to protect U.S. forces from the growing threat of small unmanned aerial systems.
Exercise Golden Shield integrated advanced sensors, kinetic and non-kinetic effectors and command-and-control systems to create an autonomous cohesive defense against small UAS. The effort, led by the 1st Cavalry Division in collaboration with Army DEVCOM and industry partners, aims to enhance the protection of armored vehicles and their crews while maneuvering. The system links sensors and weapons on tactical vehicles to automatically detect, track and engage threats, significantly shortening the sensor-to-shooter timeline and reducing cognitive load.
This marked the first live demonstration of an autonomous sensor on one platform detecting and