A 3.2 V –15 dBm Adaptive Threshold-Voltage Compensated RF Energy Harvester in 130 nm CMOS
Bibliographic record
Abstract
This paper presents an adaptive RF-DC power converter designed to efficiently convert RF signals to DC voltages utilizing auxiliary transistors to control the threshold voltage of the transistors in the main rectifier chain dynamically. The proposed circuit passively reduces the threshold voltage of the forward-biased transistors to increase the harvested power and the output voltage and increases the threshold voltage of the reverse-biased transistors to reduce the leakage current to prevent the loss of previously stored energy. A 12-stage adaptive threshold-compensated rectifier is designed and implemented in IBM's 0.13 μm CMOS technology. The proposed rectifier exhibits measured maximum power conversion efficiency (PCE) of 32% at -15 dBm (32 μW) of input power while delivering 3.2 V to a 1 M Ω load. At a remarkably low input power of -20.5 dBm (8.9 μW) for a 1 M Ω load, the rectifier produces an output voltage of 1 V.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".