Behavioral modeling for fast characterization and design optimization of Doherty power amplifiers

As the complexity of modern RF front-end systems grows, the need for accurate models that allow effective emulation of the amplifying unit has become a key issue in analyzing, optimizing and designing high efficiency power amplifiers. These models must accurately predict both high and low frequency memory effects to fully characterize the device under test. In this context, a state-of-the-art behavioral modeling approach based on Volterra series is experimented onto an industry standard Doherty power amplifier, and validated successfully by comparing with circuit level simulations.