Reconfigurable Doherty amplifier for efficient amplification of signals with variable PAPR
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Bibliographic record
Abstract
This paper proposes a reconfigurable Doherty amplifier capable of efficiently amplifying signals with variable peak-to-average power ratios (PAPR). A small number of electronically tunable devices are used to preserve appropriate Doherty load modulation as the input signal PAPR varies. A reconfigurable Doherty amplifier demonstrator was designed and fabricated, using gallium nitride transistors, to operate at 2.6 GHz and to efficiently amplify signals with PAPR of 6, 9 and 12 dB. Continuous wave measurements revealed power added efficiencies of higher than 64% at 6 and 9 dB and 59% at 12 dB output back-off. A Volterra based digital predistortion technique was also applied to examine the linearizability of the demonstrator and an Adjacent Channel Power Ratio (ACPR) of better than 46 dBc was achieved using 20MHz excitation signals with different PAPR values.
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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