A low-power 75 dB digitally programmable variable-gain amplifier in 0.18μm CMOS
Bibliographic record
Abstract
Variable-gain amplifiers (VGAs) are essential building blocks of many communication systems. In this paper, a monolithic low-power digitally programmable VGA with 75 dB of gain range is presented. The core of the design is based on a low-distortion source-degenerated differential amplifier structure. The gain is varied by changing the source-degeneration resistor and tuning the resistors in the common-mode feedback circuitry. The complete VGA consists of three gain stages. As a proof of concept, a 24 dB single-gain stage with 2 dB gain steps is fabricated in a 0.18 μm CMOS technology. The prototype chip is tested, and measurement results are obtained. Based on these results, the gain stage is redesigned to optimize its performance, and a three-stage 75 dB VGA is designed and simulated. Each stage has a digitally tunable gain range of 25 dB. The overall gain can be varied from -15 dB to 60 dB in 2.5 dB gain steps. The bandwidth of the multi-stage VGA is higher than 140 MHz, and the gain error is less than 0.3 dB. The overall VGA draws 6.5mA from a 1.8V power supply. The noise figure of the system at maximum gain is 12.5 dB, and the third-order intermodulation intercept point (IIP3) at minimum gain is 14.4 dBm.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".