Model-based design of next generation RF and mmWave systems

As operating frequency bands move into the millimeter wave range, requirements of wireless communications and radar systems become increasingly more complex, with smaller margins and tighter and tighter design cycles. System architects today must explore and coordinate the design and implementation of antenna arrays, RF transceivers, and digital signal processing algorithms operating across multiple standards and in different scenarios often including interfering signals. With the system complexity growing and the cost of prototypes increasing, executable models operating at different levels of abstraction and across multiple domains have become a key design tool. In this talk, you’ll learn how researchers and organizations are using model-based design in combination with measured data to create increasingly smart and multi-function RF systems, and how machine learning techniques such as surrogate optimization methods can further optimize the design process.