Design and simulation of pulse generator for UWB based on LC-tank differential oscillators topology
Bibliographic record
Abstract
This paper presents a detailed analysis, design and simulation of pulse generator for Ultra-Wideband (UWB) based on LC-tank differential oscillators topology. The differential oscillators with a cross-coupled NMOS pair and a tail current source are used to achieve more positive gain and generate negative resistance to the LC-tank. Besides, this oscillator is suitable for UWB high frequency and low power applications. The UWB pulse generator is composed of a simple on-off keying (OOK) modulated and LC-tank differential oscillators. The circuit of UWB pulse generator designed and simulated in 0.13 um CMOS technology. The UWB pulse generator generates a pulse for the 6 - 10 GHz UWB transmitter. Simulation results show a pulse width of 586 ps, a peak to peak amplitude pulse of 88.6 mV from the 1.2 V power supply and the die area of 0.22 mm2. The average power consumption of approximately 0.55 mW and an energy consumption of 1.1 pJ/pulse at 500 MHz pulse repetition rate (PRR) are observed.
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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) | 0.003 | 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".