Temperature Characteristics and Analysis of Monolithic Microwave CMOS Distributed Oscillators With ${G}_{m}$-Varied Gain Cells and Folded Coplanar Interconnects
Bibliographic record
Abstract
The performance of a novel Monolithic Microwave CMOS Distributed Oscillator is reported over a temperature range of -25°C to 75°C for the first time, along with an analysis of its design characteristics and its temperature stability. The oscillator is stable over the entire temperature range of 100°C. The monolithic distributed oscillator (DO) is designed and fabricated in an industry standard 0.18 μ m CMOS process, using an n-FET-based traveling wave amplifier (TWA), coplanar waveguides (CPW), and a new coplanar interconnect structure called a 'folded CPW'. The measured loss of the “folded CPW” is 1.259 dB at 10 GHz. The distributed oscillator uses a novel architecture ofGm-varied gain cells and operates at a bias of 1.8 V. The measured oscillation frequency is 11.7 GHz with 6.1 dBm output power and the measured phase noise is -116.02 dBc/Hz at 1 MHz offset, which represent the best reported power and one of the best phase noise results for silicon DOs with temperature stability.
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 | 0.001 |
| 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 | 0.000 |
| 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 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".