Generation of proper source/ load pull impedances for a selected active device is essential to design an RF power amplifier for optimum gain and power added efficiency. As they are obtained, these impedances may not be realizable network functions over the desired frequency band to yield the input and the output matching networks for the amplifier. Therefore, in this paper, first, we introduce a new method to test if a given impedance is realizable. Then, a novel "Real Frequency Line Segment Technique" based numerical procedure is introduced to assess the gain-bandwidth limitations of the given source and load impedances, which in turn results in the ultimate RF-power intake and power delivery capacity of the amplifier. During the numerical performance assessments process, a robust tool called "Virtual Gain Optimization" is presented. Finally, a new definition called "Power-Performance-Product" is introduced to measure the quality of an active device. Examples are presented to test the realizability of the given source/load pull data and to assess the gain-bandwidth limitations of the given source/load pull impedances for a 45W-GaN power transistor, namely "Wolfspeed CG2H40045", over 0.8-3.8 GHz bandwidth.
In this paper, a novel "Real Frequency Line Segment Technique" based numerical procedure is introduced to assess the gain-bandwidth limitations of the given source and load impedances, which in turn results in the ultimate RF-power intake/delivering performance of the amplifier. During the numerical performance assessments process, a robust tool called "Virtual Gain Optimization" is presented. Finally, a new definition called "Power-Performance-Product" is introduced to measure the quality of an active device. Examples are presented to assess the gain-bandwidth limitations of the given source and load pull impedances for the 45W-GaN power transistor of Wolfspeed "CG2H40045" over 0.8 -3.8 GHz bandwidth.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.