A concurrent dual-band 1.9–2.6-GHz Doherty power amplifier with Intermodulation impedance tuning
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Bibliographic record
Abstract
In this paper, a novel matching structure is introduced to implement accurate impedance matching at intermodulation (IM) frequencies in concurrent dual-band power amplifiers (PAs). Additionally, a concurrent dual-band Doherty power amplifiers (DPAs) architecture featuring Intermodulation impedance tuning (IM tuning) is introduced in this paper. Based on the proposed matching structure and DPA architecture, a concurrent dual-band 1.9-2.6 GHz DPA is designed and fabricated using two 13-Watts GaN HEMTs. After linearization, the proposed DPA exhibits drain efficiency higher than 50% and output power nearly 10 Watts in concurrent mode. Due to the accurate IM tuning, the efficiency and PUF are improved greatly compared with previously reported concurrent dual-band DPAs, by about 40 percent and 3 times, respectively. To our best knowledge, this is the first reported DPA with IM tuning and the state-of-the-art performance in terms of both efficiency and power utilization factor (PUF).
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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