FET upconverter design using load dependent mixing transconductance
Bibliographic record
Abstract
A FET upconverter design procedure using load-dependent mixing transconductance in the FET equivalent circuit is reported. The approach relies on a combination of radio-frequency measurements and equivalent circuit representations with a frequency-domain computer-aided design (CAD) tool such as Touchstone to create a simple but realistic mixer model simulating the local oscillator (LO) dynamic loading, thereby allowing real-time circuit analysis and synthesis. The design optimizes the drain network for acceptable match at the selected sideband and desired LO rejection while avoiding impedance values in the LO frequency range which would otherwise cause severe degradation in conversion loss. This method allows simulations of the conversion gain over a specific bandwidth using few microwave measurements and simple equivalent circuits. From a more general point of view, this work demonstrates the acute importance of the LO drain termination of a gate mixer in determining conversion efficiency. It has been shown that neither the short-circuit nor the open-circuit drain termination at the LO frequency will cause conversion gain extrema. The results should apply to downconverters as well, since the same first-order mixing process is involved.>
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".