A dual branch Hammerstein-Wiener architecture for behavior modeling of wideband RF transmitters
Bibliographic record
Abstract
This paper proposes a dual branch Hammerstein-Wiener system suitable for behavioral modeling of dynamic nonlinear RF power amplifiers and transmitters. The model consists of a Hammerstein system in parallel with a Wiener system. The model performances in time and frequency domains are experimentally evaluated for a 3G high power Doherty amplifier driven by multi-carrier WCDMA signals. For various orders, the proposed dual branch Hammerstein-Wiener model performances are benchmarked against those of the Hammerstein model, Wiener model, and the well established memory polynomial model. The proposed dual branch model achieves better performance than single branch Wiener and Hammerstein models with higher number of coefficients. Furthermore, it leads to normalized mean square error performance comparable to that of the memory polynomial model while requiring 30% to 40% less coefficients.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".