A Low-Noise Self-Oscillating Mixer Using a Balanced VCO Load
Bibliographic record
Abstract
A low-noise self-oscillating mixer (SOM) operating from 7.8 to 8.8 GHz is described in this paper. Three different components, the oscillator, the mixer core, and the LNA transconductor stage are assembled in a stacked configuration with full dc current-reuse from the VCO to the mixer to the LNA. The LC-tank oscillator also functions as a double-balanced IF load to the low-noise mixer core. A theoretical expression is given for the conversion gain of the SOM taking into account the time-varying nature of the IF load impedance. Measurements show that the SOM has a minimum DSB noise figure of 4.39 dB and a conversion gain of 11.6 dB. Its input P1 dBis - 13.6 dBm and its output P1 dBis - 2.97 dBm, while its IIP3 and OIP3 are - 8.3 dBm and + 3.3 dBm respectively. The chip consumes 12 mW of dc power and it occupies an area of 0.47 mm2without pads.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".