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 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 | 0.001 |
| 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 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".