A NOVEL MODELING OF MILLIMETER-WAVE Al0.27Ga0.73N/AlN/GaN HEMT BASED ON ARTIFICIAL NEURAL NETWORK

作者：Cheng, Zhi-qun^*; Wang, Xi; Zhang, Qi-qun

来源：Microwave and Optical Technology Letters, 2013, 55(9): 2124-2127.

DOI：10.1002/mop.27776

• GaN HEMT
• modeling
• artificial neural network

An artificial neural network (ANN) was used for modeling millimeter-wave Al0.27Ga0.73N/AlN/GaN high electron mobility transistor (HEMT) with multi-biases in this article. Millimeter-wave Al0.27Ga0.73N/AlN/GaN HEMT with gate width of 2 x 75 mu m and gate length of 0.3 mu m was designed and fabricated at first, and then its performance was measured for modeling. NeuroModelerPlus_V2.1E software was trained to learn the input-output relationship from the data about DC and AC performances of proposed device. ANN DC model and AC model were set up and embedded in software of ADS together to form a model of millimeter-wave Al0.27Ga0.73N/AlN/GaN HEMT, which can be used in circuit design. The results of the simulation of the model showed that it corresponded with the measurement results.

• 出版日期2013-9
• 单位杭州电子科技大学