Case Study: STMicroelectronics reduces EMI and validates simulations with Keysight ADS

STMicroelectronics and University of Lyon Predict EMI Using ADS

STMicroelectronics (working with the University of Lyon) needed to reduce conducted EMI from switched-mode power supplies, where fast di/dt switching edges produced high-frequency harmonics that interfered with nearby electronics. They required an efficient, general simulation approach to predict emissions and verify results before committing to costly prototypes, and therefore turned to Keysight and its Advanced Design System (ADS) for modeling and analysis.

Using Keysight ADS, the team implemented network-parameter block models and convolution-based time-domain techniques (plus frequency-domain analysis) to accurately predict EMI, then used ADS-driven optimization—including a genetic algorithm—to design a compact, low-cost EMI filter. Keysight’s ADS produced excellent correlation between simulated and measured EMI spectra, enabling validated designs, reduced emissions, and fewer physical prototypes.

STMIcroelectronics

Roberto Mrad

Power Electronics Research Engineer