RT Journal Article
T1 Automatic Extraction of Measurement-Based Large-Signal FET Models  by Nonlinear Function Sampling.
A1 Martín-Guerrero, Teresa María
A1 Santarelli, Alberto
A1 Gibiino, Gian Piero
A1 Traverso, Pier Andrea
A1 Camacho-Peñalosa, Carlos
A1 Filicori, Fabio
K1 Transistores de efecto de campo
K1 Semiconductores
AB A new method is proposed for the accurate experimental characterization and fully automated extraction of compact nonlinear models for Field-Effect Transistors (FETs). The approach, which leads to a charge-conservative description, is based on a single large-signal measurement under a two-tone sinusoidal wave excitation. A suitable choice of tone frequencies, amplitudes, and bias allows to adequately characterize the transistor over the whole safe operating region. The voltage controlled nonlinear functions describing the two-port FET model can be computed over an arbitrarily dense voltage domain by solving an  overdetermined system of linear equations. These equations are expressed in terms of a new Nonlinear Function Sampling operator based on a bi-periodic Fourier series description of the acquired frequency spectra. The experimental validation is carried out on a 0.25-μm Gallium Nitride (GaN) on Silicon Carbide (SiC) High-Electron Mobility Transistor (HEMT) under continuous-wave (CW) and two-tone excitation (intermodulation distortion test).
PB IEEE
YR 2020
FD 2020-03-27
LK https://hdl.handle.net/10630/28032
UL https://hdl.handle.net/10630/28032
LA eng
NO T. M. Martín-Guerrero, A. Santarelli, G. P. Gibiino, P. A. Traverso, C. Camacho-Peñalosa and F. Filicori, "Automatic Extraction of Measurement-Based Large-Signal FET Models by Nonlinear Function Sampling," in IEEE Transactions on Microwave Theory and Techniques, vol. 68, no. 5, pp. 1627-1636, May 2020, doi: 10.1109/TMTT.2020.2968886.
NO This project was partially supported by the Spanish Ministerio de Ciencia, Innovación y Universidades in the frame of ‘Salvador de Madariaga’ Program PRX18/00108.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 25 ene 2026