A Novel Cardiff Model Coefficients Extraction Process Based on Artificial Neural Network

Abstract

This paper presents a novel way to extract the Cardiff model coefficients. Analysis shows that the Cardiff model is easier for implementation in commercial RF design related software, while the Artificial Neural Network (ANN) based behavioral model provides more flexibility for extracting the coefficients of a model, the two methods have been combined. The load-pull setup, implemented in Keysight Advanced Design System (ADS), is used to acquire the pseudo-wave data of the Cree 10W transistor. By using the feedforward ANN structure together with a novel Cardiff model related backpropagation algorithm, a set of accurate coefficients can be extracted, whose Normalized Mean Squared Error (NMSE) is -54.73 dB as shown in this paper.