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
wideband 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.
Out of the box, the AIR-T is a fully functioning SDR that includes numerous examples and open
source APIs. The system includes AirStack, the AIR-T’s complete software package. AirStack
consists of the Ubuntu operating system, drivers, FPGA firmware, and everything required for
AIR-T operation.