Digitally Assisted Analog/RF Predistorter With a Small-Signal-Assisted Parameter <newline/>Identification Algorithm
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Bibliographic record
Abstract
This paper proposes a digitally assisted analog/radio frequency predistorter (ARFPD) and a linear small-signal-assisted parameter identification algorithm suitable for the linearization of power amplifiers driven with wideband and carrier aggregated communication signals. It starts by describing the newly proposed finite-impulse-response assisted envelope memory polynomial (FIR-EMP) model which allows for reduction of hardware implementation complexity while maintaining good linearization capacity and low power overhead. Furthermore, a linear two-step small-signal-assisted parameter identification algorithm is devised to estimate the parameters of the two main blocks of the FIR-EMP model. Measurement results obtained by using the FIR-EMP predistorter demonstrate its excellent linearization capacity when used to compensate for distortion exhibited by gallium nitride Doherty power amplifiers driven by digitally modulated signals with a bandwidth up to 80 MHz. This confirms the potential of ARFPD as a very promising candidate for the linearization of small cell base stations power amplifiers while simultaneously reducing the power overhead compared to the popular digital predistortion technique.
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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