A 1.7-dB Minimum NF, 22–32-GHz Low-Noise Feedback Amplifier With Multistage Noise Matching in 22-nm FD-SOI CMOS
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Bibliographic record
Abstract
A low-noise feedback amplifier (LNA) with interstage noise matching is implemented in 22-nm fully depleted silicon-on-insulator (SOI)-CMOS technology. Minimum noise figure (NF) is 1.7 dB centered at 28 GHz, and NF remains below 1.98±0.25 dB across a 10-GHz range. Peak gain of the two-stage LNA is 21.5 dB at 22 GHz, and the bandwidth (BW) for |S <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</sub> | is 19-36 GHz. Input and output return losses are better than 10 dB across an effective LNA BW of 22-32 GHz. The third-order input intercept is -13.4 dBm at peak gain when dissipating 17.3 mW. Continuous dc power control on the fly is implemented using modulation of FET backgates. When dc power consumption is reduced 5.6 mW, NF increases by less than 0.5 dB, peak gain decreases by 3.6 dB, and input return loss remains better than 10 dB with no change in effective BW.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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