@inproceedings{b15920fc89c34f3abaa5812c298874fb,
title = "Decision Tree Based Small-Signal Modelling of GaN HEMT and CAD Implementation",
abstract = "This paper explores the use of Decision Tree algorithm in the development of small signal model of GaN HEMT. In this stage, each measured s-parameters are modelled separately exploiting the bias, frequency and geometry dependence of the device as input predictors. This necessitates the tuning of parameters using Bayesian optimization and Random search algorithms. The outcome in terms of MSE and MAE demonstrates that the Random search algorithm gives a superior agreement with the measured values for the entire frequency range. Subsequently, the developed model is incorporated in the commercial CAD environment and a class-F power amplifier is designed to highlight the seamless integration ability and effectiveness of the developed model.",
keywords = "ADS Implementation, Bayesian optimization, Decision Tree, GaN HEMT, Random search algorithm",
author = "Saddam Husain and Khamida Begaliyeva and Alisher Aitbayev and Chaudhary, \{Muhammad Akmal\} and Mohammad Hashmi",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Consumer Electronics, ICCE 2022 ; Conference date: 07-01-2022 Through 09-01-2022",
year = "2022",
doi = "10.1109/ICCE53296.2022.9730309",
language = "English",
series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE International Conference on Consumer Electronics, ICCE 2022",
address = "United States",
}