Bandwidth Enhanced Doherty Power Amplifier Based on Coupled Phase Compensation Network With Specific Optimal Impedance
Bibliographic record
Abstract
This paper presents a new technique to dramatically enhance the bandwidth of a post-matching Doherty power amplifier (PM-DPA). This technique relies on using a coupled-line phase compensation network (PCN). Through a theoretical analysis, we first point out this coupled-line PCN can offer wideband impedance matching due to its capacity in reducing the external Q-factor of the peaking branch. Then, our analysis guides the derivation of closed-form formulas that help to determine the physical parameters of the coupled PCN. Finally, when augmented with suitable selected peaking amplifier impedances, the proposed technique allows improved peak efficiency and output power over extended bandwidth. For experimental verification, A DPA based on commercially available GaN high-electron-mobility transistor (HEMT) devices (Cree CGH 40010F) has been designed and fabricated. Measured results of the proposed DPA shows 6 dB back-off operation between 1.3 - 2.3 GHz (55% fractional bandwidth) with efficiency in excess of 41%.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".