Envelope Memory Polynomial Reformulation for Hardware Optimization of Analog-RF Predistortion
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Bibliographic record
Abstract
This letter addresses the very critical challenge facing the successful deployment of analog-RF predistortion (ARF-PD) and its hardware implementation complexity. A new envelope memory polynomial (EMP) expression is proposed to alleviate the dynamic range requirements for the analog multipliers and digital-to-analog converters. A two-step algorithm is devised to determine the coefficients of the proposed reformulated EMP within a specified hardware limitation. As proof-of-concept validation, a 20 W Doherty power amplifier driven by 20 MHz LTE signals was linearized using the conventional and newly proposed EMP expressions. An adjacent channel leakage ratio (ACLR) of -50.5 dBc was achieved with a dynamic range of about 50 dB for the proposed reformulated EMP and 155 dB for the conventional formulation.
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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 | 0.000 | 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 | 0.000 |
| 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.
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