A Wideband W-Band Receiver Front-End in 65-nm CMOS
Bibliographic record
Abstract
A 75-to-91 GHz receiver front-end, consisting of a three-stage cascode low-noise amplifier (LNA), a double-balanced Gilbert-cell mixer and a differential DC-to-9 GHz IF buffer, is reported in 65-nm general purpose (GP) CMOS technology. The noise and input-impedance matched LNA employs a cascode input stage with shunt-series, transformer feedback. A theoretical and experimental comparison with a conventional inductor-feedback LNA indicates 0.5-1 dB higher gain, 0.3-0.6 dB lower noise figure and better input return loss for the transformer feedback LNA. The receiver has a differential down-conversion gain of 13 dB, an input P1dBof -16.2 dBm, and a double-sideband noise figure of 8.5 to 10 dB at an IF of 1 GHz. Because of the transformer feedback, the input return loss is better than -20 dB from 80 to 92 GHz and remains below -10 dB from 70 GHz beyond 95 GHz. The circuit occupies an area of 460 mum times 500 mum and consumes 89 mW (47 mW in the LNA and mixer) from a 1.5 V supply. An LO-to-RF isolation of 60 dB was measured for LO signals in the 80-to-85 GHz range. Measurements of the mixer breakout, which includes transformers at the RF and LO ports, show a record NFDSBof 8 to 10 dB over the 74-to-91 GHz band. The 50-Omega noise figure of the LNA is 6.4 to 8.4 dB in the 75-to-88.5 GHz range. The LNA can also be employed as a transmitter output stage with a saturated output power of +4 dBm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.006 |
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".