A company developing products for aerospace and defense markets needed help building the foundation for a cognitive radar system that will detect potential threats and automatically reconfigure itself as needed through a custom software algorithm.
DornerWorks FPGA engineers helped configure a 3rd-generation Xilinx Zynq UltraScale + RFSoC to support and accelerate the customer’s IP while reducing size, weight and power (SWaP) to enable a next-generation tracking solution.
We worked collaboratively with university and commercial partners who contributed machine learning algorithms to the project. DornerWorks engineers ported one of those algorithms over to the RFSoC. This was then integrated into the overall system.
DornerWorks FPGA engineering team focused on:
The customer now has a cognitive radar solution with improved SWaP compared with previous implementations to help keep modern warfighters safer in dangerous environments.