RTX: Raytheon successfully tests AI-powered radar warning system for fighter jets

The system, known as the Cognitive Algorithm Deployment System (CADS), integrates an advanced Embedded Graphics Processing Unit with Deepwave Digital’s computing stack. This allows AI models to be incorporated into existing Raytheon RWR systems, enabling real-time threat detection and prioritisation directly at the sensor level.

By using cognitive processing methods, CADS can quickly analyse and categorise threats, providing pilots with faster and more accurate situational awareness. Raytheon states that this will not only enhance survivability for military personnel but also ensure a cost-effective and scalable integration of AI into existing defence systems.

“The advantages of AI in defense systems are extensive, and our recent CADS test demonstrates how commercially available products, paired with advanced algorithms and cognitive methods, can help the U.S. and its allies outpace peer threats,” said Bryan Rosselli, president of Advanced Products and Solutions at Raytheon. “CADS’ ability to quickly process data and run third-party algorithms that prioritize threats, with almost no latency will significantly enhance survivability for military personnel.”

Initial testing of the CADS hardware and cognitive radar processing was conducted on Raytheon’s own flight test aircraft. The system later underwent further trials on an F-16 at the Air National Guard’s test range in Tucson, Arizona, in December, successfully demonstrating AI-driven threat recognition and response.

The flight tests incorporated AI/ML techniques developed in collaboration with the Georgia Tech Research Institute, Vadum, Inc., and Raytheon’s own cognitive electronic warfare team. Following the successful trials, CADS is expected to be procured for multiple aircraft platforms starting in early 2025.