A Dual-Band Dual-Circularly Polarized Reflectarray for K/Ka-Band Space Applications
Bibliographic record
Abstract
Reflectarrays (RAs) offer not only low-cost and low-profile solutions for point-to-point communications, but they also have a controllable polarization and frequency response. This property of an RA allows to realize polarization-selective and multi-band high-gain apertures. Here, we propose a novel dual-band dual-circularly polarized (CP) RA with a unique set of properties. The RA is composed of a dual-band dual-linearly polarized (LP) RA and a dual-band LP-to-CP polarizer. By dividing the CP-RA into an LP-RA and a polarizer, we obtain the ability to radiate CP shaped beams or pencil beams at desired directions for any of the dual bands and for each polarization, independently. Moreover, the polarizer has a unique property to convert an LP wave to orthogonal CP waves at the two bands. This relaxes the feed complexity and increases the out of band rejection. The underlying unit cell of the proposed RA is designed for 18.2-18.8 GHz and 27.8-28.3 GHz. It provides a 323° phase shift in the lower band and 381° phase shift in the higher band while maintaining a cross polarization level more than 15 dB in both bands, and excellent decoupling between the two bands. An offset-fed RA is designed and full-wave simulation results are presented and confirm the performance of the proposed structure.
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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 | 0.001 |
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".