Automatic Extraction of Measurement-Based Large-Signal FET Models by Nonlinear Function Sampling

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Abstract

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 biperiodic Fourier series description of the acquired frequency spectra. The experimental validation is carried out on a 0.25- \mu \text{m} gallium nitride (GaN) on silicon carbide (SiC) high-electron-mobility transistor (HEMT) under continuous-wave (CW) and two-tone excitation (intermodulation distortion test).

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Martin-Guerrero, T. M., Santarelli, A., Gibiino, G. P., Traverso, P. A., Camacho-Penalosa, C., & Filicori, F. (2020). Automatic Extraction of Measurement-Based Large-Signal FET Models by Nonlinear Function Sampling. IEEE Transactions on Microwave Theory and Techniques, 68(5), 1627–1636. https://doi.org/10.1109/TMTT.2020.2968886

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