Improving linearity in class-AB power amplifiers using a body-biased NMOS predistortion stage
Bibliographic record
Abstract
A technique for improving the linearity of CMOS class-AB power amplifiers (PAs) is introduced. The technique is based on compensating for the voltage-dependent nonlinear gate-source capacitance of the input transistor of the PA. This compensation is achieved through using an NMOS capacitor, i.e., an NMOS transistor with its source and drain shorted, as a predistortion stage. To enhance cancellation of the nonlinearity, body biasing is incorporated as an additional control scheme into the predistortion stage. As a proof-of-concept, a 2.4-GHz class-AB power amplifier with the proposed predistortion stage has been designed and laid out in a 0.13-μm CMOS technology. Post-layout simulation results show that the third-order input-referred intercept point (IIP3) of the designed PA improves by more than 3-dB when the bulk voltage of the predistortion device is biased appropriately. The PA achieves unsaturated output power of +20 dBm while drawing 125 mA from a 1.2 V supply voltage.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".