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March 09, 2017
North Korea recently fired a missile across the Korean Peninsula and into the Sea of Japan. This latest threatening act highlights the increased volatility of the Pacific Region. Ongoing tensions in the Straits of Taiwan and China's construction of a string of artificial islands in the South China Sea also serve as stark examples of the need for effective SIGINT/ELINT [signals intelligence/electronic signals intelligence] coverage of the electro-magnetic spectrum (EMS) by the U.S. and its allies.
November 18, 2016
Here's the problem: Your unmanned aerial vehicle (UAV) is flying through densely populated geography when one of its signal intelligence (SIGINT) systems' radio-frequency (RF) channels detects an emitter signal of interest on a specific frequency, indicating a potential target. It's not enough to know there's a potential threat out there somewhere. You need to know the threat's exact location, and you need to know it in near-real-time. The challenge is that to geolocate a particular emitter, the SIGINT system needs to reassign three or four of its other RF channels, so they can - along with the original channel - perform the interferometry, using TDOA [Time Difference of Arrival] localization techniques, that's needed to zero in on the potential target.
February 02, 2016
Intel's new Xeon D system-on-chip (SoC) is making large numbers of x86 processing cores readily available for embedded defense applications. With an architecture designed to support math-intensive processing and very-high-bandwidth data transfers, the Xeon D enables advanced cognitive electronic warfare (EW) applications to operate in small size, weight, and power (SWaP)-constrained platforms.
March 16, 2015
Network performance can be an issue for VxWorks, especially in demanding applications like signal/image/radar processing. However, designers can get full-speed 40 Gbps Ethernet out of VxWorks.
December 01, 2014
Today, GPU options have expanded to include Intel’s Core i7 products, whose built-in GPU functionality and AVX math library support continues to grow. On the FPGA front, we’re starting to see devices with built-in ARM cores, while discrete GPU devices are delivering expanded functionality as well.
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