A load-pull approach using multi-frequency harmonic tuners for enhancing PAE and device model accuracy
Bibliographic record
Abstract
A load-pull process for characterizing and modeling devices used in switching microwave circuits is presented. The proposed process takes advantage of state-of-the-art Multi-Harmonic Impedance Tuners. These tuners have the ability to control and sweep terminations seen at multiple harmonic frequencies simultaneously, and therefore the true mutual interaction between the different harmonics is always captured during the load-pull process. This is as opposed to the commonly-used single-harmonic impedance tuners where only one harmonic termination can be controlled and swept at a time. Consequently, the set of optimum harmonic terminations obtained from the proposed load-pull process will result in a higher Power Added Efficiency (PAE) than the set obtained by the load-pull process that employs single-harmonic impedance tuners. Moreover, the measurement-based X-parameter model generated during the proposed load-pull process will more accurately predict the performance of the device under real operating conditions. Experimental results of a 0.25 µm GaN device operating at 10 GHz show that an improvement of 11% in PAE is achieved with the optimum harmonic terminations obtained by the proposed approach.
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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 | 0.000 |
| 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 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".