Defense Firms Secure Major Counter-UAV Contracts
BAE Systems has secured a $145 million contract from the U.S. Air Force for counter-unmanned aerial systems. Separately, startup Allen Control Systems won the U.S. Army’s xTechOverwatch competition for its autonomous counter-drone platform. The contracts reflect a growing investment wave into autonomous detection and interception solutions by the military.
- The BAE Systems contract focuses on scaling the Advanced Precision Kill Weapon System (APKWS), a kit that converts standard 70mm rockets into laser-guided munitions. A newly developed proximity fuze enables the rocket's warhead to detonate near a drone, making it effective against Class 2 and 3 unmanned aircraft. - Allen Control Systems' winning "Bullfrog" platform is an AI-powered robotic weapon station that integrates with existing machine guns like the M240. It uses computer vision and proprietary control systems to autonomously detect, track, and identify aerial threats, requiring an operator only for the final command to fire. - A key driver for the Army's interest in systems like Bullfrog is the extremely low cost-per-kill, estimated to be around $10 per drone engagement. This provides a sustainable alternative to using traditional air defense missiles, which can cost hundreds of thousands of dollars, against inexpensive drones. - The Army's xTechOverwatch competition is specifically designed to fast-track "Direct to Phase II" Small Business Innovation Research (SBIR) awards. This model allows the military to bypass traditional, slower acquisition processes to rapidly field emerging technologies like autonomous systems from non-traditional defense companies. - Both systems reflect a critical shift toward kinetic (physical impact) and artificially intelligent solutions. Modern AI-driven C-UAS platforms fuse data from multiple sensors—like radio frequency (RF), radar, and electro-optical/infrared (EO/IR)—to more accurately classify threats and reduce false alarms from objects like birds. - The broader trend in counter-drone technology involves moving from purely reactive systems to proactive, autonomous platforms. AI and machine learning algorithms are crucial for enabling systems to predict drone behavior, counter drone swarms, and adapt to new threats with minimal human intervention. - BAE is also developing vehicle-based C-UAS prototypes, such as one on an Armored Multi-Purpose Vehicle (AMPV). This system uses a "slew-to-cue" capability, where sensors automatically detect a threat and slew the weapon system onto the target, engaging it with 30mm proximity rounds. - U.S. Special Operations Command (SOCOM) has also awarded a contract to Allen Control Systems to equip maritime platforms with the Bullfrog system, turning machine guns into autonomous drone-killers for boats.
