Impact of PA Mismatching in Chireix-Outphasing System without Stubs
Bibliographic record
Abstract
In this paper; new expressions for the Chireix combiner without stubs are derived to study the impact of the combiner mismatching to the efficiency and the linearity of the system. We show analytically that the Chireix outphasing combiner without the shunt reactance is perfectly linear but the instantaneous efficiency degrades when impedance mismatching between the combiner and the PA occurs. We varied the length and the impedance of the λ/4 transmission line of the Chireix combiner consequently we can see by using ADS software that the system stays linear and the best efficiency exist at length of λ/4 and impedance of 1.4Z0. In the other hand, we note that the efficiency is reduced and is at the best equal to that of the hybrid combiner. This work is validated through simulation with ADS software using CDMA and multi-tones and one tone 2GHz envelope modulated signals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".