A Wideband Dual-Polarized Reconfigurable Reflectarray Using Polarization Rotation Technique
Bibliographic record
Abstract
This paper presents a wideband dual-polarized 1-bit reconfigurable reflectarray antenna (RRA) at Ku-band, featuring a novel multi-layer unit cell with two substrates and three metallic layers. By utilizing the out-of-phase characteristic of the electric field in the dominant mode of the patch and polarization conversion, the design achieves two distinct phase states with accurate resolution over a wide bandwidth. Two PIN diodes serve as switches, enabling 180° phase difference between states while converting an x-polarized incident wave to a y-polarized reflected wave (and vice versa). A single control signal simultaneously operates both diodes, significantly simplifying the control system. Simulations confirm a 180° ± 2° phase difference from 10 GHz to 15 GHz. To explore beam steering capability, a 10 × 10 reconfigurable reflectarray prototype was fabricated and tested, with each unit cell wired to a DC biasing board and controlled via an SPDT manual switch. Measured results demonstrate beam steering up to 50° in both planes for both polarizations, with a 1-dB gain bandwidth of 13.7% (12.2 GHz–14 GHz), closely matching simulations.The combination of wide bandwidth, dual-polarization capability, and simplified fabrication makes this design highly suitable for beam-steering applications.
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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 | 0.001 | 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".