A 6 GHz fully integrated SiGe LNA with simplified matching circuitries
Bibliographic record
Abstract
A two stage bipolar low noise amplifier based on common-emitter configuration is presented in this work. From transistor size scaling to complete two stage integration, various design aspects and issues will be investigated. It will be shown that by following the proposed design methodology, the input as well as the interstage matching of the low noise amplifier (LNA) can be highly simplified without any serial inductors. This in turn minimizes the additional losses, chip area and improves the performance of the LNA without degrading the matching characteristics. At 5.8 GHz, the measured results of the LNA comprise 18.8 dB gain, 2 dB noise figure, input and output matching better than 10 dB, -14.5 dBm of input power at 1 dB gain compression and -6 dBm of input third order intercept point. The LNA consumes 18 mA of current from 1.8 V power supply. The calculated LNA ITRS figure of merit of 5.9 makes it as one of the best implementations among the bipolar LNAs reported in this frequency range of operation.
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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) | 0.001 | 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) | 0.003 | 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; 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".