Machine learning-based broadband GaN HEMT behavioral model applied to class-J power amplifier design
Jialin Cai, Justin King, Shichang Chen, Meilin Wu, Jiangtao Su, Jianhua Wang
A novel, broadband, nonlinear behavioral model, based on support vector regression (SVR) is presented in this paper. The proposed model, distinct from existing SVR-based models, incorporates frequency information into its formalism, allowing the model to perform accurate prediction across a wide frequency band. The basic theory of the proposed model, along with model implementation and the model e