Low‐loss compact power combiner for solid state power amplifiers with high reliability
Bibliographic record
Abstract
In this study, a low‐loss and compact planar power combiner for solid state power amplifiers (SSPAs) is proposed. It combines eight power amplifier modules with low insertion loss (IL) and high reliability by utilising a novel magic‐Tee configuration and E ‐plane bend along with a suitable microstrip‐to‐waveguide transition. The fabricated prototype was implemented through automatic milling machines to produce three planar layers that form the final structure. This novel approach enabled precise fabrication, simple assembly of the SSPAs as well as low‐cost manufacturing in comparison with existing traditional approaches. This process is suitable for SSPAs operating from 4 to 40 GHz. The combined IL of the implemented combiner network is less than 0.6 dB at Ka‐band, 0.5 dB at Ku‐band, and 0.4 dB at X‐band while exhibiting a 10% fractional bandwidth.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".