Wideband radiation enhancement of waveguide arrays operated as feeds for reflector antennas using patch array covers
Bibliographic record
Abstract
[1] This work rigorously analyzes a periodic microstrip patch array printed on a dielectric slab and placed over an array of open-ended sidewall loaded rectangular waveguides. The method of moments using spectral Green's functions for multilayer structures is employed. The application selected to feature the computed results of this structure is array matching. This work thus investigates the ability of such patch arrays to improve the transmission levels of waveguide arrays over those of uncovered ones. The matching performance is also compared with conventional dielectric sheath-type tuners. Two array operation scenarios are studied: direct radiating phased arrays, and focal plane arrays as feeds for reflectors. Earlier studies of the latter scenario show that the decoupling efficiency tends to be poor at low frequencies, due to the electrical proximity between the waveguide elements. It will be demonstrated here that both forms of matching layers can be tuned to provide good matching at low frequencies. This study has opted to investigate the beneficial effects of the sheet and the patch array over a wide frequency band, rather than its optimization over a selected narrow band. Such optimizations can be done in practice for known specific operating bands.
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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) | 0.000 | 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) | 0.001 | 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 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".