Far‐field cancellation of cross‐polarisation based on mirroring subarrays of densely arranged PDM apertures
Bibliographic record
Abstract
Achieving highly directional planar array antennas with sufficient cross‐polarisation discriminations (XPDs) is crucial for satellite communications based on the polarisation‐division multiplexing (PDM). In this work, the authors propose a robust three‐step approach that can be used to significantly enhance the XPD of such array antennas in the normal and nearby directions based on mirroring subarrays, especially when the radiation elements are densely arranged. Theoretical, simulation and experimental results show that by dividing an in‐phase feed array into two or four identical subarrays and properly mirroring them with a differentially feeding, the XPD can be remarkably enhanced by means of far‐field cancellation, regardless of the scale and the XPD of the original array. It provides a practical and robust solution to obtain compact PDM antennas satisfying strict XPD requirements.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".