6.7 GHz high- <i>Q</i> active inductor design using parasitic cancellation with process variation control
Bibliographic record
Abstract
A correction to a previously published Q- and bandwidth-enhancing design technique using parasitic cancellation to obtain a high-Q active inductor operating at frequencies above 6 GHz using non-minimal-length CMOS technologies is presented. A measured inductance of 1.9 nH is acheived at 6.75 GHz with a Q of 38 occupying only 0.0026 mm2 silicon chip area. The active inductor is then used to obtain a narrowband output matching element for an LNA with its input unmatched in 130 nm CMOS technology. The input-unmatched inductorless LNA parameters measured at 6.7 GHz are: S21 12.8 dB, 3.5 GHz BW, NF 7.2 dB (with simulated NFmin of 3.3 dB) and S22 less than −20 dB, while consuming only 6.4 mW with a 1.2 V supply. The high NF can be easily reduced to NFmin with input matching.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".