An Ultralow-Power Capacitive Array-Based IR-UWB Transmitter Using Cross-Coupled Oscillator
Bibliographic record
Abstract
This paper presents an ultra-wideband (UWB) transmitter based on capacitive array that decreases dependency of data rate to pulse repetition frequency, as well as power consumption and complexity. The entire system includes several delay stages, a capacitive array circuit, a Schmitt trigger, an impulse generator, a cross-coupled oscillator, and an antenna driver. A sequence of 5-bit parallel data is applied to the capacitive array, providing ramp signals with 32 equally separated slopes. This returns a variable pulsewidth at the output of the Schmitt trigger circuit, which corresponds to a specific sequence of input data. Post-layout simulation results show that the proposed circuit provides a linear time change in the pulsewidth with an accuracy of 176 ps in average for every input data LSB. Furthermore, the entire circuit consumes only 190 µW from a 0.6-V supply. The proposed transmitter achieves a significantly low energy consumption of 950 fJ/bit at 200 Mbps within the Federal Communications Commission spectral mask which addresses the design challenges of ultralow-power internet-of-things devices. The circuit is designed in TSMC 65-nm standard CMOS technology and occupies 0.0525 mm2of die area.
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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 | 0.001 |
| 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".