Multi-Branch Polynomial Model with Embedded Average Power Dependency for 3G RF Power Amplifiers
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Bibliographic record
Abstract
In this paper, a study of the of multi-branch polynomial model performance for RF power amplifiers operating over a wide input power range is presented. For this purpose, a 100-watts peak power amplifier designed for 3G applications is characterized over a 12 dB average input power range. A multi-branch polynomial model is derived at each average power level. The models' accuracy in predicting the PA's output spectrum under average input power mismatch is evaluated. Then, the model's parameters variation versus the average input power is considered. It is shown that there is no straightforward analytical function that might take into account for the parameters variation with respect to the average input power level. Accordingly, a complexity reduced multi-branch model with embedded average power dependency is proposed. The model coefficients are stored into memory banks, and the adequate coefficients are loaded depending on the average input power level.
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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) | 0.000 | 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