A Fully-Integrated 2.4 GHz  Mismatch-Controllable RF Front-end Test Platform in 0.18µm CMOS
Bibliographic record
Abstract
The design and implementation of a prototype testbench for a direct conversion receiver RF front-end targeted for the 2.4 GHz ISM band are described. The developed front-end provides user control of I/Q mismatch and is intended as a test vehicle for evaluation of various I/Q mismatch compensation methods implemented in the back-end. The I and Q path mixers can operate in normal mode, or they can be controlled externally to introduce a known mismatch, or controlled to compensate for the actual mismatch, which results in a dramatic increase in the image rejection ratio (IRR). A prototype of the proposed circuit was fabricated using TSMC 0.18 mum CMOS technology and includes a low noise amplifier (LNA), two mixers (with quadrature down-conversion) and a quadrature voltage-controlled oscillator (QVCO). It achieves a conversion gain of 40 dB, and a noise figure of 9.8 dB. The circuit dissipates 25 mW and occupies an active area of 2.5 mm2.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.002 | 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".