Dual-band GaN HEMT power amplifier using resonators in matching networks
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Bibliographic record
Abstract
In this paper, we employ a novel method by using resonators with microstrip lines to design a dual-band GaN HEMT power amplifier. At both input and output matching networks, we add parallel resonators between series microstrip lines and open-circuited stubs to realize the dual-band operation. With our proposed structure, we can use the conventional L-type structure to design matching network for each operation frequency so that the design is easier. By using just one transistor without any tunable electronic element or switch, a novel dual-band class AB power amplifier working at 1.5 GHz and 2.4 GHz is designed and fabricated to demonstrate our proposed simple method. With dual-band matching networks using resonators, the experimental results show the output power 40.3 dBm and 39.05 dBm with power added efficiency (PAE) 55.63% and 40.25% at 1.5 GHz and 2.4 GHz, respectively.
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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) | 0.001 | 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 it