ASHBURN, Va. – Curtiss-Wright Corp. and General Dynamics Corp. are joining forces to develop artificial intelligence (AI) commercial off-the-shelf (COTS) embedded computing hardware and software for signals intelligence (SIGINT) and electronic warfare (EW) situational awareness applications.
Officials of the Curtiss-Wright Defense Solutions division in Ashburn, Va., announced they are collaborating with the General Dynamics Mission Systems segment in Fairfax, Va., for AI-based mission-critical embedded computing.
Joining the General Dynamics SignalEye threat-detection software and Curtiss-Wright’s Intel Xeon D processor-based CHAMP-XD1 embedded computing module provides system designers with a deployable COTS solution for RF spectrum situational awareness that automatically classifies signals by using machine learning.
“By combining our SignalEye machine learning software with Curtiss-Wright’s CHAMP-XD1 processor, we can provide warfighters with a greater understanding of the RF threats on the battlefield,” says Bill Ross, vice president of RF and broadband products at General Dynamics Mission Systems.
The 3U OpenVPX CHAMP-XD1 is a rugged digital signal processor (DSP) engine module for use in compute-intensive industrial, aerospace, and defense applications like electronic warfare (EW). It enables developers of high performance embedded computing (HPEC) to take advantage of the Xeon D processor.
This 3U VPX processor card is available in ruggedized air- and conduction-cooled configurations to operate in harsh deployed environments.
The General Dynamics SignalEye software provides spectrum situational awareness by automating the classification of signals with machine learning. This EW software provides tactical warfighters and security personnel with a view of the threat in the RF spectrum.
SignalEye continuously learns from its environment, and alerts users to threatening signals, and to set a baseline on what is normal and what is a threat.
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