A Reconfigurable Power-Efficient Quantized Analog RF Front-End With Smart Calibration
Why this work is in the frame
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Bibliographic record
Abstract
A power scalable RF front-end using Quantized Analog signal processing is presented. The front-end is based on a voltage-mode power scalable approach which allows the power dissipation to be scaled upon the operative scenario and to performing an agile calibration for mismatch impairments. Power and input dynamic range can be scaled upon the desired 1dBCP (from -15.3dBm to 0.5dBm) while keeping the same sensitivity with 2.5dB NF. Signal path power can vary between 3.3mW to 6.4mW while clock generation and distribution power can vary between 1.6mW/GHz to 18.5mW/GHz, with a PN as low as -171.2dBc/Hz. After calibration, IM2 and IM3 improved up to 33dB while 1dBCP improved by 1dB, which resulted in achieving an IIP3 of 26.1dBm and IIP2 of 71dBm at 0dBm 1dBCP.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it