Artificial Intelligence Radio Transceiver (AIR-T): Concept, Architecture, Specifications, and Use cases
Artificial Intelligence Radio Transceiver (AIR-T) is a high performance software-defined radio (SDR) board seamlessly integrated with the state-of-the-art advanced processing and deep learning methods
In this article, we deep dive into discovering and explaining all the details of The Artificial Intelligence based Radio Transceiver (AIR-T), which is a high performance software-defined radio (SDR) board seamlessly integrated with the state-of-the-art advanced 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 widely 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.
