A Study of SiGe HBT Signal Sources in the 220–330-GHz Range
Bibliographic record
Abstract
The paper presents design optimization strategies and a comparison of the performance of SiGe HBT fundamental and push-push Colpitts and Colpitts-Clapp voltage-controlled oscillators (VCOs), with and without doublers and buffers, as possible solutions for efficient milliwatt-level, low-noise signal sources at submillimeter-wave frequencies. The fundamental frequency Colpitts VCO covers a 12% tuning range between 218 and 246 GHz (the highest for SiGe HBTs) with up to -3.6-dBm output power and 0.8% efficiency. The 300-GHz signal source, consisting of a Colpitts-Clapp VCO followed by a buffer amplifier and a doubler, shows -1.7-dBm output power around 290 GHz, -101-dBc/Hz phase noise at 10-MHz offset, 7.5% tuning range, and 0.4% efficiency. Finally, the push-push Colpitts-Clapp VCO exhibits the highest operation frequency, from 309 to 325 GHz, but with reduced efficiency of only 0.07% and 5% tuning range. It was concluded that the differential cascode buffer placed between the VCO and doubler was instrumental in achieving the best phase noise and output power with good efficiency and without compromising tuning range.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".