2-W Broadband GaN Power-Amplifier RFIC Using the $f_{T}$ Doubling Technique and Digitally Assisted Distortion Cancellation
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Bibliographic record
Abstract
The method of derivative superposition is enhanced with digital techniques to cancel the intermodulation distortion generated by a 2-W power amplifier (PA) RF integrated circuit over a broad band of 6 GHz. Two amplifiers were fabricated and tested: a baseline PA without distortion cancellation and a PA with digitally assisted distortion cancellation to demonstrate the effectiveness of the new technique. The PAs are biased in class-A mode and have an <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">OP</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1dB</sub> of 31 dBm and a <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">P</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SAT</sub> of 33 dBm. Measurements reveal that the output third-order intercept point (OIP3) of the PA with digitally assisted distortion cancellation can be increased to 50.25±3.75 dBm between 1-6 GHz relative to the OIP3 of the baseline PA, which is 40.25±2.75 dBm over the same frequency span. The level of distortion cancellation is not only dependent on the frequency of the incident signal, but also on its power level. Data is presented that shows how the proposed digitally assisted distortion cancellation method also improves the OIP3 of the PA when the RF input power level is taken into account.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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.
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