A high-frequency power amplifier using GaN power cell technology
Bibliographic record
Abstract
This paper describes the design, simulation, packaging and measurement of a 10-GHz Gallium Nitride power amplifier (PA). GaN transistors or power cells with maximum-available gain of 8.7 dB at 10 GHz were used in the design. The power cells were manufactured using a 0.8-¿m HFET 9-layer process, while the PA's DC bias lines, input and output matching circuits were built on a low-cost Miniature-Hybrid MIC chip. A flip-chip technology was used to integrate the power cells with the rest of the PA circuit. A class-AB PA was designed to provide an output power of up to 39 dBm at 10 GHz, while maintaining a power-added efficiency (PAE) of 31%. The measurements of the PA are presented and issues related to packaging and measurements are also discussed in the paper.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 teacher head, 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".