RTX's Raytheon demonstrates first-ever AI/ML-powered Radar Warning Receiver for 4th generation aircraft
Raytheon, an RTX business, has successfully completed flight testing of the first-ever AI/ML-powered Radar Warning Receiver (RWR) system for fourth-generation aircraft. The Cognitive Algorithm Deployment System (CADS) combines Embedded Graphics Processing Unit with Deepwave Digital's computing stack to integrate AI models into legacy RWR systems.
The system enables AI/ML processing at the sensor level, allowing CADS to employ cognitive methods to sense, identify, and prioritize threats with minimal latency. Initial testing was conducted on Raytheon's flight test aircraft, followed by successful demonstrations on an F-16 at the Air National Guard's test range near Tucson, Arizona in December. The tests incorporated AI/ML techniques from Georgia Tech Research Institute, Vadum, Inc., and Raytheon's cognitive electronic warfare team.
CADS procurement across multiple platforms is expected to begin in early 2025.
Raytheon, un'azienda di RTX, ha completato con successo i test di volo del primo sistema di Radar Warning Receiver (RWR) alimentato da AI/ML per aerei di quarta generazione. Il Cognitive Algorithm Deployment System (CADS) combina un'unità di elaborazione grafica integrata con il stack computazionale di Deepwave Digital per integrare modelli di AI nei sistemi RWR legacy.
Il sistema consente l'elaborazione AI/ML a livello di sensore, permettendo al CADS di utilizzare metodi cognitivi per rilevare, identificare e dare priorità alle minacce con una latenza minima. I test iniziali sono stati condotti sull'aereo da test di volo di Raytheon, seguiti da dimostrazioni di successo su un F-16 presso il campo di prova della Guardia Nazionale Aerea vicino a Tucson, Arizona, a dicembre. I test hanno incorporato tecniche AI/ML dell'Istituto di Ricerca del Georgia Tech, Vadum, Inc. e il team di guerra elettronica cognitiva di Raytheon.
Si prevede che l'acquisto del CADS su più piattaforme inizi all'inizio del 2025.
Raytheon, una empresa de RTX, ha completado con éxito las pruebas de vuelo del primer sistema de Radar Warning Receiver (RWR) potenciado por AI/ML para aviones de cuarta generación. El Cognitive Algorithm Deployment System (CADS) combina una Unidad de Procesamiento Gráfico Embebido con la pila computacional de Deepwave Digital para integrar modelos de AI en sistemas RWR heredados.
El sistema permite el procesamiento AI/ML a nivel de sensor, permitiendo que el CADS emplee métodos cognitivos para detectar, identificar y priorizar amenazas con una latencia mínima. Las pruebas iniciales se realizaron en el avión de pruebas de vuelo de Raytheon, seguidas de demostraciones exitosas en un F-16 en el campo de pruebas de la Guardia Nacional Aérea cerca de Tucson, Arizona, en diciembre. Las pruebas incorporaron técnicas de AI/ML del Instituto de Investigación del Georgia Tech, Vadum, Inc. y el equipo de guerra electrónica cognitiva de Raytheon.
Se espera que la adquisición del CADS en múltiples plataformas comience a principios de 2025.
레이시온(Raytheon)은 RTX 사업 부문으로, 최초의 AI/ML 기반 레이더 경고 수신기(RWR) 시스템의 비행 테스트를 성공적으로 완료했습니다. 인지 알고리즘 배포 시스템(CADS)은 내장형 그래픽 처리 장치와 Deepwave Digital의 컴퓨팅 스택을 결합하여 기존 RWR 시스템에 AI 모델을 통합합니다.
이 시스템은 센서 수준에서 AI/ML 처리를 가능하게 하여 CADS가 인지 방법을 사용하여 위협을 감지, 식별 및 우선 순위를 지정할 수 있도록 합니다. 초기 테스트는 레이시온의 비행 테스트 항공기에서 수행되었으며, 이어서 12월에 애리조나 투손 근처의 공군 주 방위군 시험장에서 F-16에서 성공적인 시연이 이어졌습니다. 테스트에는 조지아 공과대학교 연구소, Vadum, Inc. 및 레이시온의 인지 전자전 팀의 AI/ML 기술이 포함되었습니다.
여러 플랫폼에서 CADS 조달이 2025년 초에 시작될 것으로 예상됩니다.
Raytheon, une entreprise de RTX, a réussi à achever les tests de vol du tout premier système de Radar Warning Receiver (RWR) alimenté par AI/ML pour les avions de quatrième génération. Le Cognitive Algorithm Deployment System (CADS) combine une unité de traitement graphique embarquée avec la pile informatique de Deepwave Digital pour intégrer des modèles d'IA dans des systèmes RWR hérités.
Ce système permet le traitement AI/ML au niveau du capteur, permettant au CADS d'utiliser des méthodes cognitives pour détecter, identifier et prioriser les menaces avec une latence minimale. Des tests initiaux ont été réalisés sur l'avion d'essai de vol de Raytheon, suivis de démonstrations réussies sur un F-16 au champ d'essai de la Garde nationale aérienne près de Tucson, en Arizona, en décembre. Les tests ont incorporé des techniques AI/ML de l'Institut de recherche du Georgia Tech, Vadum, Inc. et l'équipe de guerre électronique cognitive de Raytheon.
On s'attend à ce que l'acquisition de CADS sur plusieurs plateformes commence début 2025.
Raytheon, ein Unternehmen von RTX, hat erfolgreich die Flugtests des ersten AI/ML-gestützten Radarwarnempfängers (RWR) für Flugzeuge der vierten Generation abgeschlossen. Das Cognitive Algorithm Deployment System (CADS) kombiniert eine eingebettete Grafikverarbeitungseinheit mit dem Computer-Stack von Deepwave Digital, um KI-Modelle in bestehende RWR-Systeme zu integrieren.
Das System ermöglicht die AI/ML-Verarbeitung auf Sensorebene, sodass CADS kognitive Methoden einsetzen kann, um Bedrohungen mit minimaler Latenz zu erkennen, zu identifizieren und zu priorisieren. Die ersten Tests wurden an Raytheons Flugtestflugzeug durchgeführt, gefolgt von erfolgreichen Demonstrationen an einem F-16 im Testgelände der Air National Guard in der Nähe von Tucson, Arizona, im Dezember. Die Tests umfassten AI/ML-Techniken des Georgia Tech Research Institute, Vadum, Inc. und Raytheons kognitiven elektronischen Kriegsteam.
Der Erwerb von CADS über mehrere Plattformen wird voraussichtlich Anfang 2025 beginnen.
- First successful implementation of AI/ML-powered Radar Warning Receiver for 4th gen aircraft
- Technology enables rapid and cost-effective deployment of modern AI capabilities
- System demonstrates near-zero latency in threat processing and prioritization
- Commercial procurement expected to begin in early 2025
- None.
Insights
The successful demonstration of CADS represents a pivotal advancement in military aviation technology, with significant implications for RTX's market position in the defense sector. By successfully integrating AI/ML capabilities with legacy Radar Warning Receiver systems, RTX has effectively solved two critical challenges: modernizing existing military assets and enhancing combat survivability without requiring complete system replacement.
The technology's architecture, combining Embedded Graphics Processing Units with Deepwave Digital's computing stack, creates a scalable and cost-effective solution that could be implemented across various military platforms. This approach is particularly valuable as it addresses the military's need to upgrade thousands of legacy aircraft without the enormous expense of full system replacement.
The partnership strategy with Georgia Tech Research Institute and Vadum, Inc. demonstrates RTX's ability to leverage commercial AI expertise while maintaining its defense-sector leadership. This collaborative approach could accelerate deployment timelines and reduce development costs, potentially leading to higher profit margins on future contracts.
The successful testing on F-16 platforms is especially significant as these aircraft represent a large global fleet of fourth-generation fighters. With procurement set to begin in early 2025, this positions RTX to capture a substantial market opportunity across both domestic and international military customers. The timing aligns perfectly with increasing defense modernization budgets focused on AI integration and electronic warfare capabilities.
The near-zero latency performance in threat processing and prioritization represents a important competitive advantage, as speed and accuracy in threat detection directly impact survival rates in combat scenarios. This technological edge could help RTX secure long-term contracts and establish CADS as the standard for next-generation electronic warfare systems.
New technology will enhance aircrew survivability and accelerate AI/ML capability deployment
The Cognitive Algorithm Deployment System, known as CADS, combines the latest Embedded Graphics Processing Unit with Deepwave Digital's computing stack, enabling AI 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 prioritize 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 defense systems are extensive, and our recent CADS test demonstrates how commercially available products, paired with advanced algorithms and cognitive methods, can help the
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
CADS is expected to begin being procured across multiple platforms in early 2025.
About Raytheon
Raytheon, an RTX business, is a leading provider of defense solutions to help the
About RTX
RTX is the world's largest aerospace and defense company. With more than 185,000 global employees, we push the limits of technology and science to redefine how we connect and protect our world. Through industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon – we are advancing aviation, engineering integrated defense systems for operational success, and developing next-generation technology solutions and manufacturing to help global customers address their most critical challenges. The company, with 2024 sales of more than
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SOURCE RTX
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