Stochastic Optimization of the CPL-Function-Based Model for RF Power Transistors
In this article, the simultaneous perturbation stochastic approximation (SPSA) algorithm is proposed to optimize the threshold of the canonical piecewise linear (CPL) function-based models for radio frequency (RF) power transistors. Compared with the existing standard CPL-function-based model, the p...
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Published in | IEEE microwave and wireless components letters Vol. 32; no. 7; pp. 1 - 4 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.07.2022
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Subjects | |
Online Access | Get full text |
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Summary: | In this article, the simultaneous perturbation stochastic approximation (SPSA) algorithm is proposed to optimize the threshold of the canonical piecewise linear (CPL) function-based models for radio frequency (RF) power transistors. Compared with the existing standard CPL-function-based model, the proposed optimization technique can greatly improve model performance. Two different CPL-based models, the CPL Y/quadratic Y (QY) model and the canonical section-wise piecewise linear (CSWPL) model, are used to verify the proposed technique. Experimental test of a 10-W GaN device from Cree is presented, showing the effectiveness of the proposed technique. |
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ISSN: | 1531-1309 1558-1764 |
DOI: | 10.1109/LMWC.2022.3149751 |