Modeling of Input Nonlinearity and Waveform Engineered High-Efficiency Class-F Power Amplifiers
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Bibliographic record
Abstract
A comprehensive time-domain modeling and a generalized design methodology for input and output waveform engineered Class-F power amplifiers (PAs) are presented in this article. A closed-form relationship between input nonlinearity and second harmonic source impedance (Z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2S</sub> ) termination is presented from which efficiency and output power performance are predicted for Class-F PAs. The maximum, minimum, and safe Z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2S</sub> design space for a Class-F PA are identified. Moreover, the derived design equations show that the typical fundamental load of a Class-F PA operation must be re-engineered in the presence of input nonlinearity in order to achieve optimum efficiency performance. The theoretical analyses are first validated with pulsed vector load-pull (VLP) measurements with a gallium nitride (GaN) 2 mm device. Then, high-power (210 W) GaN 24-mm devices with in-package Z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2S</sub> terminations are implemented. Measurement results with the new source and load design space show efficiency improvement of 4.4% compared to the nominal Class-F PA.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it