A Wideband Power Detection System Optimized for the UWB Spectrum
Bibliographic record
Abstract
A wideband radio-frequency (RF) power detection system is presented. The detection technique uses NMOS devices operating in the triode regime to generate an average current proportional to RF input power; this current is converted to voltage and amplified using a piecewise linear logarithmic approximation. Optimization of the NMOS devices is discussed, and a method of gain control is proposed for compensation of temperature and process variation. The power detector occupies an active area of 0.36 mm2in a 0.18 mum CMOS process and consumes 10.8 mW from the power supply. Error between the output and a linear-in-dB best-fit curve is plusmn2.4 dB for a 20 dB input range, when measured at discrete frequencies. The output response is frequency independent, varying by less than 1.8 dB for a fixed input power as frequency is swept across the UWB spectrum.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".