RTX has introduced its first-ever aircraft radar warning receiver (RWR) with artificial intelligence (AI) and machine learning (ML) capabilities.
The cutting-edge technology leverages the company’s Cognitive Algorithm Deployment System (CADS), enabling the integration of AI/ML models into legacy RWRs.
The CADS combines the latest Embedded Graphics Processing Unit with Deepwave’s computing stack, allowing threat processing at the sensor level.
This gives the RWR the ability to utilize cognitive techniques to detect, classify, and prioritize threats more effectively.
“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,” RTX stated.
The AI/ML-equipped RWR recently completed flight testing aboard an F-16 test aircraft.
‘Promises Significant Advantages’
According to RTX, the improved RWR offers significant advantages over traditional systems, particularly in situational awareness.
The new warning receiver can reportedly analyze far more emissions in real time and classify threats more accurately.
The AI/ML features also enhance the RWR’s resistance to spoofing, boosting reliability in high-threat combat scenarios.
When integrated into fighter aircraft, the technology reduces pilot workload by filtering nearby threats.
“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 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 prioritize threats with almost no latency will significantly enhance survivability for military personnel.”
The new RWR is designed for integration into fourth-generation aircraft, such as the F-15 and F-16 fighter jets.
