A 0.5–1.7 V Efficient and PVT-Invariant Constant Subthreshold <i>g<sub>m</sub> </i> Reference Circuit in CMOS
Bibliographic record
Abstract
This paper presents a low-power constant subthreshold transconductance reference circuit that produces a constant transconductance by subtracting the output currents of two independent transconductance references. By taking the difference between the output currents of the two independent transconductance references, process, voltage and temperature variations are reduced by minimizing the effects of channel length modulation and drain-induced barrier lowering without relying on feedback to regulate the drain voltage. The proposed reference, fabricated in TSMC’s 130 nm process and testing with off-chip temperature-insensitive resistors, can provide a constant transconductance over a temperature range of −30 to 120°C, and a supply voltage range of 0.5 to 1.7 V. The experimental result of the proposed transconductance reference shows an average variation of ±0.8% over temperature for the entire operating voltage range and an average variation of ±1.97% over voltage for the entire operating temperature range. Through the subtraction, the proposed circuit also shows less variation across process corners compared to the conventional constant transconductance reference. The proposed constant transconductance reference exhibits the highest power efficiency (transconductance over power consumption) amongst the reported constant transconductance references. At 0.5 V, the proposed transconductance reference produces a transconductance of 21.46$\mu \text{S}$, while consuming 1.95$\mu \text{W}$.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 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".