The Artificial Intelligence Radio Transceiver (AIR-T) is a high-performance software-defined radio (SDR) seamlessly integrated with state-of-the-art processing and deep learning inference hardware. The incorporation of an embedded graphics processing unit (GPU) enables real-time wide-band digital signal processing (DSP) algorithms to be executed in software, without requiring specialized field programmable gate array (FPGA) firmware development. The GPU is the most utilized processor for machine learning, therefore the AIR-T significantly reduces the barrier for engineers to create autonomous signal identification, interference mitigation, and many other machine learning applications. By granting the deep learning algorithm full control over the transceiver system, the AIR-T allows for fully autonomous software defined and cognitive radio.
“The AIR-T board allows researchers and developers to experiment and build artificial intelligence and high performance compute solutions at the RF edge.”-Arjun Dutt, Director of the Inception program at NVIDIA
Three Integrated Processors
Deepwave s AIR-T is the first software-defined radio (SDR) with embedded high-performance computing. The AIR-T lowers the price and performance barriers to autonomous signal identification, interference mitigation, and much more. The AIR-T allows for a fully autonomous SDR by giving the AI engine complete control over the hardware. Whether your background is in electrical engineering, applied physics, or a related field, AIR-T will open up new possibilities for your work. It does this by uniquely integrating three digital processors that provide the functionality needed for any signal processing application:
FPGA for strict real-time operations
GPU for highly parallel processing
CPU for control, I/O, DSP, and software applications
This unique combination brings you the worlds of high-performance computing (HPC), artificial intelligence, deep learning, and advanced graphics and rendering on one embedded platform. The system has the versatility to function as a highly parallel SDR, data recorder, or inference engine for deep learning algorithms. The embedded GPU allows your SDR applications to process bandwidths greater than 200 MHz in real-time.
Features & Specifications
For a complete list of features, see the AIR-T Product Guide here
RF Transceiver | ||
Manufacturer | Analog Devices 9371 | |
Number of Receive Channels | 2 | |
Number of Transmit Channels | 2 | |
Maximum Bandwidth | 100 MHz | |
Maximum Sample Rate | 125 MSPS | |
Frequency Tuning Range | 300 MHz – 6 GHz | |
Receiver Power Level Control | AGC or manual gain control | |
Transmitter Power Level Control | TPC or manual gain control | |
External Reference Input | Yes | |
Built in Calibrations | Quadrature error correction | |
LO suppression | ||
LO leakage correction | ||
Processors | ||
Manufacturer | NVIDIA Jetson TX2 | |
CPU 1 | ARM A-57 (4-core) | |
CPU 2 | ARM Denver2 (2-core) | |
GPU | Pascal (256-core) | |
Memory | 8 GBytes shared memory | |
Storage | 32 GBytes flash | |
FPGA | ||
Manufacturer | Xilinx Artix-7 FPGA | |
LUTs | 47.2k | |
DSP Slices | 180 | |
RAM | 3.75 kbits | |
Networking | ||
Ethernet | 10/100/1000 BASE-T | |
WLAN | 802.11a/b/g/n/ac dual-band 2×2 MIMO | |
Bluetooth | Version 4.1 | |
Display | ||
HDMI | 3840 x 2160 (4k) | |
Peripheral Interfaces | ||
SATA | Version 3.1 | |
SD Card | SD 3.0 or SD-XC cards up to 2 TB | |
USB | USB 3.0 Super Speed mode (up to 5Gb/s) | |
USB 2.0 High Speed mode (up to 480Mb/s) | ||
USB On-The-Go | ||
UART | See NVIDIA Jetson TX2 datasheet for information | |
GPIO | See NVIDIA Jetson TX2 datasheet for information | |
SPI | See NVIDIA Jetson TX2 datasheet for information | |
I2C | See NVIDIA Jetson TX2 datasheet for information | |
Audio | See NVIDIA Jetson TX2 datasheet for information | |
Power | ||
Input | 8-15 VDC | |
Mechanical | ||
Board Form Factor | Mini-ITX | |
Dimensions | 170 × 170 x 35 mm (6.7″ × 6.7″ x 1.4″) | |
Weight | 285 grams (0.63 pounds) | |
Software | ||
Operating System | Ubuntu (Linux) | |
Drivers | AirStack |
Price: € 6 470,17
To buy here