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A new automated small-signal GaAs pHEMT model extraction technique based on the analytical approach followed by optimization is suggested. The performance capability of the technique is confirmed by successful small-signal modeling of pHEMTs manufactured by different semiconductor fabs.

An assessment of automated extraction capabilities for small-signal modeling of various GaAs pHEMT processes