Design Realization and Tests of a GaN Solid State Power Amplifier with 51dBm Output Power for 17.3-20.2 GHz SatCom Applications
Bibliographic record
Abstract
In this paper, the design, realization, and tests of the Engineering Model (EM) of the developed SSPA is detailed. Across the entire band, from 17.3 GHz to 20.2 GHz, the SSPA supplies more than 125W output power at only 3dB of compression. Gain and overall efficiency are respectively better than 70 dB and 24% (including the power consumption of the EPC and PSU). It is worth highlighting that these performance levels have been achieved while satisfying space constraints in terms of de-rating and reliability. Moreover, in the same bandwidth the output power at 1dB of gain compression is larger than 100W with a Noise-to-Power Ratio (NPR) better than 13dB. Vibration and vacuum tests as well as thermal cycles are currently ongoing, and results will be presented during the conference. To the best of the authors’ knowledge, this is the first SSPA based on EU GaN-on-Si technology capable of delivering more than 100W output power in the overall Ka-downlink band
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".