2020
DOI: 10.3390/electronics9122007
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An RF Approach to Modelling Gallium Nitride Power Devices Using Parasitic Extraction

Abstract: This paper begins with a comprehensive review into the existing GaN device models. Secondly, it identifies the need for a more accurate GaN switching model. A simple practical process based on radio frequency techniques using Vector Network Analyser is introduced in this paper as an original contribution. It was applied to extract the impedances of the GaN device to develop an efficient behavioural model. The switching behaviour of the model was validated using both simulation and real time double pulse test e… Show more

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Cited by 5 publications
(2 citation statements)
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“…If cost is a significant factor and the application requirements allow for it, SMD-type structures might be a more economical choice. Furthermore, SMD-type devices are designed for surface mounting directly onto the PCB (Printed Circuit Board), simplifying the assembly process [42]. TO-type packages may require additional mounting considerations.…”
Section: Figure 1 Inductive Load Switching Circuit With All Parasitic...mentioning
confidence: 99%
“…If cost is a significant factor and the application requirements allow for it, SMD-type structures might be a more economical choice. Furthermore, SMD-type devices are designed for surface mounting directly onto the PCB (Printed Circuit Board), simplifying the assembly process [42]. TO-type packages may require additional mounting considerations.…”
Section: Figure 1 Inductive Load Switching Circuit With All Parasitic...mentioning
confidence: 99%
“…Even though some of the empirical parameters lack physical meaning, the models are accurate, fast, and applicable to different devices from the same class [21]. Behavioral modeling is a common modeling method that involves fitting mathematical equations to experimental data without knowledge of the physical mechanism of operation [19,[33][34][35][36][37]. The computational efficiency of behavioral models is their primary advantage [21,23].…”
Section: Introductionmentioning
confidence: 99%