Doherty Power Amplifier With Enhanced Efficiency at Extended Operating Average Power Levels
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Bibliographic record
Abstract
This paper proposes an electronically reconfigurable Doherty amplifier capable of efficiently amplifying wireless signals with significant time varying average power. This paper outlines closed-form equations used to design an effective Doherty amplifier that can be driven with signals of variable power levels using a small number of electronically tunable devices. As a proof of concept, a reconfigurable Doherty amplifier prototype was designed and fabricated that efficiently amplified signals centered at 2.6 GHz with output average power levels equal to 35, 30, and 25 dBm. The measurement results obtained using continuous wave signals revealed power-added efficiencies of greater than 66%, at input power level adjustments of 21 and 16 dBm, and more than 62% when the average input power level setting was adjusted to 11 dBm. In addition, the reconfigurable Doherty amplifier, driven with a 20-MHz long-term evolution signal, was successfully linearized using a pruned Volterra series based digital predistrtion algorithm.
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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