Single-Layer Electronically Beam Steering Transmitarray Antenna for the Ka-band Applications
Bibliographic record
Abstract
This paper introduces a novel 1-bit single-layer transmitarray antenna that utilizes a wideband metasurface (MTS) to enhance gain and enable efficient beam steering at millimeter-wave frequencies. The unique design of the unit cell is based on Huygens' principle and incorporates two metallic T- and E-shaped patches, printed on both sides of a dielectric substrate. The E-shaped patches are rotated 90 degrees and positioned above the T-shaped patches. Furthermore, 44 holes are employed to lower the permittivity of the substrate and improve the transmission efficiency. In addition, PIN diodes are integrated into the T-shaped patches, and two microstrip lines are added to the sides of the patches. The microstrip lines act as biasing lines for the pin diodes, with one connected to the arm and the other to the bottom of the T-shaped patches. The design exhibits consistently low insertion loss across two-phase states and supports a broad transmission bandwidth from 26 GHz to 30 GHz. Next, the transmitarray antenna ($15 \times 15$) is constructed using the proposed unit cell, showing precise beam steering toward the intended angles. The antenna design achieves low sidelobe levels, which minimizes interference and improves overall performance. The proposed structure offers a compact and efficient solution for applications requiring high gain, wide bandwidth, and accurate beam control in a single-layer configuration.
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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) | 0.002 | 0.002 |
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".