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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Bibliographic Details
Published inIEEE microwave and wireless components letters Vol. 32; no. 7; pp. 1 - 4
Main Authors Cai, Jialin, King, Justin B., Chen, Shichang, You, Bin, Li, Wenjun, Liu, Jun
Format Journal Article
LanguageEnglish
Published IEEE 01.07.2022
Subjects
Canonical piecewise linear (CPL) function
Data models
nonlinear modeling
Perturbation methods
power transistor
Predictive models
Radio frequency
simultaneous perturbation stochastic approximation (SPSA) optimization
Stochastic processes
Wireless communication
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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.
ISSN:1531-1309
1558-1764
DOI:10.1109/LMWC.2022.3149751