A Methodology for Implementation of High-Efficiency Broadband Power Amplifiers With Second-Harmonic Manipulation
Bibliographic record
Abstract
This brief describes a methodology for designing broadband power amplifiers (PAs) based on the manipulation of second-harmonic impedance. The proposed approach starts from the inverse class-F (F-1) design specification and extends it to a family of specifications that allow achieving better than class-B performance in terms of output power and drain efficiency. It is shown that the achievable performance can be maintained over a wide frequency range reaching 57% of fractional bandwidth. As such, the proposed approach permits higher flexibility and offers relaxed matching constraints in implementing broadband high-efficiency PAs. For the experimental implementation, the proposed approach is adopted to implement a broadband PA using a 10-W gallium-nitride transistor. Peak drain efficiencies greater than 75% are measured over carrier frequencies between 500 and 900 MHz. The saturated output power levels, on the other hand, are higher than 10 W with a maximum of 13 W. Measured results are confirmed to be in good agreement with theory and simulations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".