Time domain poly-harmonic distortion models of RF transistors and its extraction using a hybrid passive/active measurement setup
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a novel behavioral model of RF transistors under periodic stimulus that is mathematically equivalent to frequency domain Poly-Harmonic Distortion (PHD) models but is defined instead in the time domain. Given a fixed fundamental frequency for a periodic stimulus, a time domain PHD (TD-PHD) model that describes this periodic behavior consists of two nonlinear functions, each describing the large-signal response at one of the two ports of the RF transistor. In this model, the response at each port at any given time is a nonlinear time-invariant function of the stimulus at both ports throughout its entire RF period. Using a two-port hybrid passive/active multi-harmonic load-pull measurement setup, a 10W GaN packaged transistor biased in class AB is measured with a Nonlinear Vector Network Analyzer (NVNA). The predictive performance of the extracted model is validated against a power amplifier design that uses this RF transistor.
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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