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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".