Annapolis Micro Systems, a leading FPGA board and systems supplier, announced today the availability of the industry’s first COTS FMC+ Mezzanine to feature the new Xilinx® Zynq® UltraScale+™ RF System-on-Chip (RFSoC) technology. The WILD FMC+ GM60 ADC & DAC integrates Xilinx’s ZU25DR, ZU27DR, or ZU28DR.
This breakthrough Xilinx RFSoC combines FPGA processing and A/D and D/A Converters in a single chip, giving the GM60 card remarkable density and performance:
- 2-Channel 4.0GSps 12b ADC
- 8-Channel 6.4GSps 14b DAC
The RFSoC also includes a multi-processor embedded ARM® Cortex-A53 Application Processing Unit (APU) and an ARM Real Time Processing Unit (RPU).
“We are excited to be the first company to use Xilinx’s RFSoC in a COTS mezzanine,” said Noah Donaldson, Annapolis Micro Systems Chief Technology Officer. “This daughter card approach allows for maximum flexibility of use, and for significantly higher performance than integrating the RFSoC directly into a baseboard.”
The GM60 is available for use with Annapolis’ WILDSTAR 3U OpenVPX Baseboards (one WFMC+ mezzanine site) or 6U OpenVPX Baseboards (two WFMC+ mezzanine sites) or PCIe Baseboards (one WFMC+ mezzanine site). Annapolis WILDSTAR Baseboards utilize up to three high-performance FPGAs, in addition to the GM60 Mezzanine’s RFSoC.
Also designed for stand-alone use, the GM60 is ideal for applications limited by Size, Weight, Power, and Cost (SWaP-C). This WILD FMC+ card operates within a tight envelope; it is slimmer than a 3U OpenVPX board, with about 45% less depth.
The GM60 is one of dozens of products that comprise Annapolis’ WILD EcoSystem. The EcoSystem is an interoperable portfolio of rugged high-performance OpenVPX and PCIe COTS boards and systems that are used for challenging data acquisition, digital signal processing, and data storage applications.
The ultra-low latency GM60 is designed for advanced High Performance Computing (HPC) and Electronic Warfare (EW) applications, including DRFM, beamforming, sensor processing, wireless communication, and radar signal processing.
