Highly efficient broadband class‐J power amplifier using modified multisection quarter‐wave lines and short‐circuited stubs
Bibliographic record
Abstract
This study presents a broadband and high‐efficiency Class‐J power amplifier (PA)‐based on a modified multisection quarter‐wave lines and short‐circuited stubs matching network (MN). It is noted that the modified structure, with good design convenience and great frequency selectivity, especially in the roll‐off region between the highest frequency of the desired band ( f H ) and second harmonic of the lowest frequency of the band (2 f L ), is for the first time employed to design PAs with more optimal performance and greater bandwidths (BWs). A step‐by‐step design procedure of the proposed structure is presented. Experimental results show that using a 10‐W Wolfspeed GaN HEMT device, a highly efficient broadband Class‐J PA is realised from 1.4 to 2.4 GHz (fractional BW = 52.6%) with measured drain efficiency of 63.0–68.9% and output power of 39.8–40.3 dBm.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".