5W Linear Power Amplifier Design for 5 – 6 GHz Applications
Bibliographic record
Abstract
In this study, class F amplifier is designed and simulated for RF applications with high linearity in the 5-6 GHz band range. 2-way amplification method was used for the implementation. The input signal is transferred to the amplifier circuits after splitting with Wilkinson power divider. The amplified power in the two arms is then collected by the Gysel power combiner and given to the output. The simulations were made in the AWR Microwave Office program on Rogers RT/Duroid 5870 dielectric material with a thickness of 0.78 mm and a dielectric constant of 2.33. Gallium Nitrite HEMT type CREE CGH40006P transistor was used in the design. As a result of the simulation, the at least 11 dB power gain across the band was obtained with 30% power added efficiency and approximately 37 dBm output power.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".