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Wide frequency range: 70 MHz - 6 GHz
Up to 56 MHz of instantaneous bandwidth
2x2 MIMO transceiver
RX, TX filter banks
Xilinx Zynq 7020 SoC: 7 Series FPGA with ARM Cortex A9 866 MHz dual-core processor
Up to 10 MS/s sample data transfer rate to ARM processor
Synchronization with PPS time reference
Integrated GPS receiver
9-axis inertial measurement unit
Rich set of peripherals such as host USB and 1 Gigabit Ethernet
133 x 68.2 x 31.8 mm form factor
OpenEmbedded build framework
USRP Hardware Driver™ (UHD) open-source software API version 3.9.2 or later
RF Network on Chip (RFNoC™) FPGA development framework
GNU Radio support maintained by Ettus Research™ through GR-UHD, an interface to UHD distributed by GNU Radio
The battery operated USRP E312 offers a portable stand-alone software defined radio platform designed for field deployment. The flexible 2x2 MIMO AD9361 transceiver from Analog Devices provides up to 56 MHz of instantaneous bandwidth and spans frequencies from 70 MHz – 6 GHz to cover multiple bands of interest. RF filter banks in both the transmitter and receiver front-end enhances selectivity.
The baseband processor uses the Xilinx Zynq 7020 SoC to deliver FPGA accelerated computations combined with stand-alone operation enabled by a dual-core ARM CPU. The USRP E312 includes a rich set of peripherals such as an integrated GPS receiver for position awareness and time synchronization, as well as two host USB ports for extending storage, I/O, and communication options with off-the-shelf devices. Users can rapidly prototype and deploy designs for mobile and embedded applications with tight size, weight, and power requirements.
The USRP Embedded Series platform uses the OpenEmbedded framework to create custom Linux distributions tailored to application specific needs. The default operating system is pre-installed with the UHD software API and a variety of third party development tools such as GNU Radio. Support for the RFNoC FPGA development framework enables deterministic computations for real-time and wideband signal processing.
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