A simple method for tunable load impedance matching network of power amplifier
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article, we proposed one simple method which achieves variable load impedance. By this method, without utilizing load pull tuner, the errors caused by various reasons, such as parasitic effect at the lumped components and active devices, can be corrected. We designed and fabricated one Class-AB amplifier to demonstrate our simple method by adjusting a shunt variable capacitor and inductor added at the input and output of the load matching network respectively. Before correcting the circuit, comparing the measured maximum PAE (Power Added efficiency) of the power amplifier (40.21% at 37.70 dBm output power) with the simulated PAE (52.96% at 40.35 dBm output power), the performance of this amplifier was not as what simulation predicted. After optimizing the circuit with our method, we obtained the maximum PAE reached 50.63% and the maximum output power increased to 40.10 dBm which more agree with the simulated result than the result before the correction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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