An automatic parameter extraction and scalable modeling method for transformers in RF circuit

Abstract

Summary form only given. In this paper, an automatic parameter extraction and scalable modeling method for transformer with 2π-based equivalent circuit-topology is established for the first time. In contrast to traditional optimization extraction, the adaptive boundary compression technique, combining a new correlated parameter extraction method with the neighboring geometry parameters, is introduced. The method is validated by 42 industry transformers and both accuracy and scalability have been achieved.