Non-linear noise mechanisms in SiGe BiCMOS devices
Bibliographic record
Abstract
In this paper, we have proposed some guidelines to achieve a low phase noise design using SiGe BiCMOS commercial technology. First, we observed that the excess noise is l/f type with an excess noise corner frequency in the 1 kHz range, close to the state-of-the-art. Secondly, the measurement correlation between the noise generators indicates that more than one 1/f noise source are present in these devices. We have implemented a low frequency noise model based on the intrinsic noise sources that resulted in good accuracy. Finally, the good LF noise capabilities have been confirmed by residual phase noise measurements at 10 GHz and phase noise at 4 GHz. We demonstrated that an appropriate intrinsic LF noise modelling gives quite a good phase noise prediction. This provides the opportunity of performing low phase noise design of RF and microwave oscillators.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".