An Accurate Predistorter Based on a Feedforward Hammerstein Structure
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Bibliographic record
Abstract
This paper presents a feedforward Hammerstein structure that is proposed for the modeling and digital predistortion of the dynamic nonlinear behavior of the wideband radio frequency power amplifiers and wireless transmitters. This model consists of two loops, one used as a signal cancellation loop and the second used as distortion injection loop. The main signal cancellation loop is responsible for the characterizing of the PA dynamics through a Hammerstein model. Indeed, the distortion injection loop was found to complement the main signal cancellation loop by adding an accurate means of modeling the nonlinear dynamics of the intermodulation distorted signal for the better mimicking of the intermodulation distortion products especially in the out-of-band regions. Its accuracy is assessed in behavioral modeling and digital predistortion, by comparing it to other state-of-the-art models. The measurement results show an adjacent channel power ratio of almost <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex Notation="TeX">$-$</tex></formula> 50 dBc and a normalized mean square error of less than <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$-$</tex> </formula> 42 dB.
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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 | 0.001 |
| 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