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American defence prime Raytheon has demonstrated first-ever AI/ML-powered radar warning receiver for fourth-generation aircraft.
Raytheon has successfully completed flight testing on the first-ever AI/ML-powered radar warning receiver (RWR) system for a fourth-generation aircraft, according to RTX.
The Cognitive Algorithm Deployment System, known as CADS, combines the latest embedded graphics processing unit with Deepwave Digital’s computing stack, enabling artificial intelligence models to be integrated into Raytheon’s legacy RWR systems for AI/ML processing at the sensor.
This integration allows CADS to employ cognitive methods to sense, identify and prioritise threats. With the CADS capability, the enhanced RWR will increase aircrew survivability while facilitating the rapid and cost-effective mass deployment of modern AI/ML capabilities.
“The advantages of AI in defence systems are extensive, and our recent CADS test demonstrates how commercially available products, paired with advanced algorithms and cognitive methods, can help the US 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 prioritise threats, with almost no latency, will significantly enhance survivability for military personnel."
Initial CADS hardware and cognitive radar processing capabilities were tested on Raytheon’s flight test aircraft.
CADS performed successfully during additional flight testing and demonstrations on an F-16 at the Air National Guard’s test range near Tucson, Arizona, in December.
The flight tests incorporate containerised AI/ML techniques from the Georgia Tech Research Institute, Vadum Inc, and Raytheon’s cognitive electronic warfare team.
CADS is expected to begin being procured for multiple platforms in early 2025.
