Its embedded graphics processing unit (CPU/GPU) runs real-time neural-network signal processing (CNN) algorithms in software, with room for additional, specialized signal analysis development.
The GPU is one of the most widely used processor types for machine learning, so the Y9820A significantly reduces the effort for developers to create autonomous signal identification, modulation recognition, interference mitigation and many other machine-learning applications for RF technologies. It analyzes an RF signal source and can also generate IQ data files and reports. Thanks to the AI capabilities of the integrated software, RF signals can be inspected in a sophisticated, modern way.
Out of the box, the Y9820A includes numerous functions, such as modulation recognition, and open-source APIs. The system comes with complete software packages and is based on the Linux Ubuntu operating system, with drivers, FPGA firmware and everything required for professional operation. It is the base for customer-specific software development.
The YOTASYS Y9820A is an innovative, modern solution for a high-performance portable setup to capture, analyze and report RF signals. Based on the IQ streaming of the MS2090A, it extends RF measurement and investigation up to 9 GHz (or higher), with unique features for detecting and analyzing unknown or unwanted signals.
