Artificial Intelligence Radio - Transceiver (AIR-T)

A high-performance SDR seamlessly integrated with state-of-the-art deep learning hardware

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Features & Specifications

  • Software-defined Radio
    • Analog Devices 9371 2x2 MIMO transceiver
      • 2 x RX channels (100 MHz each)
      • 2 x TX channels (250 MHz each)
      • Auxiliary RX channels*
      • Observation (250 MHz)
      • Sniffer (20 MHz)
    • NVIDIA Jetson TX2 for processing
      • 256 NVIDIA core integrated GPU
      • 6 CPU cores
      • 8 GB CPU/GPU shared memory
    • Xilinx Artix-7 FPGA
      • 75k logic cells
  • Connectivity & Storage
    • USB 2.0 and 3.0
    • 1 Gig Ethernet
    • HDMI display port
    • High-speed digital I/O
    • 32 GB of on-board storage
  • Software
    • Port existing GNURadio applications within minutes
    • Custom GNURadio block to easily deploy your neural network or high-performance applications
    • Build you own custom software using our hardware drivers
    • Use Python or C++ to easily program the GPU
    • No VHDL. No need to learn how to program an FPGA (but you can if you want to!)
  • Physical
    • 6.7 × 6.7 in (170 × 170 mm)
    • <0.5 lbs (<0.158 kg)

* Can use either Observation or Sniffer at one time; utilizes one of the RX channels

Overview Video

Use Cases

Wireless

From Wi-Fi to OpenBTS, use deep learning to maximize these applications. By pairing a GPU directly with an RF front-end it eliminates the need of having to purchase an additional computer or server for processing. Just power the AIR-T on and plug in a keyboard, mouse, and monitor and get started. Use GNURadio blocks to quickly develop and deploy your current or new wireless system. For those who need more control, talk directly with the drivers using Python or C+. And for those superusers out there, the AIR-T is an open-platform, so you can program the FPGA and GPU directly.

Satellite Communications

Communicating past Pluto is hard. With the power of a single-board SDR with an embedded GPU, the AIR-T can certainly prove out concepts before you launch them into space. Reduce development time and costs by adding deep learning to your satellite communication system.

Ground Communications

There is an endless number of terrestrial communication systems with more being developed every day. As the spectral density becomes more congested, AI will be needed to maximize these resources. The AIR-T is well-positioned to easily and quickly help you prototype and deploy your wireless system.

Video/Image/Audio Recognition

The AIR-T allows you to demodulate a signal and apply deep learning to the image, video, or audio data in one integrated platform. For example, directly receiving a signal that contains audio and peforming speech recognition previously required multiple devices. The AIR-T integrates this into one easy to use package. Whatever your application is, from speech recognition to digital signal processing, the integrated NVIDIA GPU will jump start your applications.

Pattern Recognition

For many communications and radar applications once the signal is collected it must be sent to an off-board computer for additional processing and storage. This consumes valuable time. The AIR-T eliminates this. From its inception, it was designed to process signals in real-time and eliminate unnecessary latency.

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