1st Cav Div ‘Golden Shield’ live fire exercise tests counter-UAS system
AI Analysis
The 1st Cavalry Division conducted the Golden Shield live-fire exercise to test a counter-UAS system for armored formations. This exercise integrated advanced sensors, kinetic and non-kinetic effectors, and command-and-control systems to autonomously detect and engage small UAS threats.
Key Takeaways
- Golden Shield exercise tested counter-UAS systems for armored formations.
- Integration of advanced sensors and effectors for autonomous threat engagement.
- Collaboration with U.S. Army Combat Capabilities Development Command and industry partners.
- System reduces sensor-to-shooter timeline and cognitive load on soldiers.
- Part of the Army's modernization efforts under the Pegasus Charge initiative.
Why It Matters
This exercise marks a significant advancement in the Army's capability to protect armored units from small UAS threats, which are increasingly prevalent on modern battlefields. The successful integration of autonomous systems enhances force protection and operational effectiveness, aligning with broader military modernization goals.
1st Cav Div ‘Golden Shield’ live fire exercise tests counter-UAS system | News | forthoodsentinel.com
Published: 2026-04-23T05:00:00+00:00 Author: 1st Cavalry Division
Summary
The 1st Cavalry Division has completed a live-fire exercise, Golden Shield, testing counter-unmanned aircraft systems for its "Golden Shield" counter-drone concept for an armored formation. The exercise, led by the 1st Cav. Div. in collaboration with U.S. Army Combat Capabilities Development Command and industry partners, integrated advanced sensors, kinetic and non-kinetic effectors and command-and-control systems to create an autonomous defense against small UAS. The system links sensors and weapons on tactical vehicles to automatically detect, track and engage threats, significantly reducing the sensor-to-shooter timeline and increasing cognitive load. This exercise represents a significant step forward in the Army’s modernization efforts to ensure Soldiers are equipped with the most advanced technology.
Story
1st Cav Div ‘Golden Shield’ live fire exercise tests counter-UAS system | News | forthoodsentinel.com You have permission to edit this article. Maj. Gen. Thomas M. Feltey, 1st Cavalry Division commanding general, Command Sgt. Maj. Levares J. Jackson, 1st Cav. Div. command sergeant major, and distinguished visitors from 1st Cav. Div. and industry leaders are briefed by Alfred Grein, executive director for Research and Technology Integration for the U.S. Army Combat Capabilities Development Command Ground Vehicle Systems Center, on the capabilities tested by civilian organizations affiliated with DEVCOM GSVC during Project Golden Shield April 9 at Fort Hood. This event is the experimentation and testing phase of Project Golden Shield, where capability providers are testing new counter-unmanned aircraft systems technologies in a field environment for the first time, to improve their systems with feedback from troopers and Soldiers who will implement them on the modern battlefield. Photo by Spc. Steven Day, 1st Cav. Div. Public Affairs The 1st Cavalry Division has completed the latest phase of its counter drone experimentation, a live-fire exercise from April 7-9 testing counter-unmanned aircraft systems for its “Golden Shield” counter-drone concept for an armored formation. This 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 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 Cav. Div. in collaboration with U.S. Army Combat Capabilities Development Command 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