RF/DSP Codesign Methodology of Enhanced Doherty Amplifiers
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Bibliographic record
Abstract
In this brief, a mixed radio frequency/digital signal processing (DSP) codesign approach is proposed to enhance the performance of Doherty power amplifiers (PAs). For the hardware optimization, a load-pull-based design methodology is proposed to determine the optimal matching elements of the main amplifier for enhanced efficiency at back-off. Subsequently, DSP control of the baseband input signal is used to efficiently distribute the drive power between the main and auxiliary amplifiers in order to enhance the efficiency at high power levels and also to improve the linearity. Precisely, the input power is evenly distributed between the two amplifiers at the back-off region and then unequally split with more drive into the auxiliary amplifier once the latter turns on. This allows for improving the load modulation behavior of the Doherty PA and flattening its gain response, which yield enhanced efficiency and improved linearity. For the experimental validation, the proposed codesign approach is applied to implement a dual-input Doherty PA based on a 10-W gallium nitride (GaN) device. Measurement results with wideband code division multiple access demonstrated improvements of up to 5% in average drain efficiency and up to 3 dB in adjacent channel leakage ratio.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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