In the past Space Time Adaptive Processing (STAP) was a challenge for embedded systems. This white paper studies STAP processing approaches, using Xeon D and E processors for comparison.
How the most innovative embedded cooling technologies compare, Embedding modern, powerful processors into r...
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Optimized to solve the most advanced radar, cognitive EW and AI challenges, learn how Mercury ’s ACAP-engineer-to-engineer designer’s journey is intended to assist other development teams.
SWaP-optimized and ruggedized for operation in harsh environments, learn how Mercury ’s ACAP-based solutions will bring new levels of application capability to the tactical edge.
Electronic battlefield complexity is a growing challenge. New, more sophisticated RF processing capabilities must be rapidly developed and deployed to operate successfully in contested environments.
Learn how Mercury and Intel collaborate to scale and deploy composable data center capabilities across the fog and edge layers with high performance embedded computing (HPEC)
Optimized networked-attached GPU distributed processing architecture delivers NVIDIA A100 GPU parallel computing resources over dual 100 Gbit Ethernet network connections without requiring an x86 host
COTS Software Defined Radio for 5G Development
Xilinx's new RFSoC brings a powerful and unique solution for addressing some of the most demanding requirements of high bandwidth and high channel count systems.
Development Tactics and Techniques for Small Form Factor RF Signal Recorders
Learn about the SOSA Consortium and the VITA organization, how they interact to address challenges and define successful strategies, along with illustrative examples of SOSA-aligned products.
Learn how Mercury builds products with varying degrees of enhanced durability to operate under extreme environmental conditions, including repeated temperature cycling over wide temperature ranges.
Assurance of DAL flight-safety certification and systems security engineering (SSE) is required to protect systems and mitigate risk for future smart and autonomous platforms
Discover how technologies developed by Mercury Systems and NVIDIA scale the best AI-enabling data center processing capabilities to the edge for real-time decision-making.
Cloud-scalable cross-domain solution methodologies, challenges and implementations for rapid, secure and correct information transfer between multiple security domains.
Modern sensors and AI need powerful flight-ready computing, but creating safe multi-core processing systems is difficult to achieve. Learn why Intel-based solutions are suited for AI and FVL.
Today's space imaging systems require radiation-tolerant NAND flash components with advanced error correction, packaged in lightweight, rugged VPX form factors.
Artificial Intelligence (AI) is rapidly transforming the defense industry by broadening the scope of machine applications and leveling the playing field for nation states looking to gain power.
Enterprises supporting the DoD can leverage commercial investment, open systems architectures and internal R&D to speed technology innovation and reduce overall sustainment and investment cost.
Rappid: A modular, application-ready spectrum processing platform