A Wideband Metasurface Waveguide Antenna with Low Sidelobe Levels at Ka Band
Bibliographic record
Abstract
This paper presents a wideband metasurface waveguide (MSWG) antenna with low sidelobe levels (SLLs) for high-performance leaky-wave applications. The design integrates a metasurface layer into the waveguide's broad wall, replacing conventional slots to enable precise phase/amplitude modulation of guided waves. Leveraging Taylor synthesis ($\overline{\boldsymbol{n}}=\mathbf{5}$, SLL =-25 dB) and a power-transmission method, the design ensures sidelobe levels below −20 dB and a 17.1° beam-scanning range. Full-wave simulations validate the antenna's performance, demonstrating stable radiation patterns, a 5.4 % 3-dB gain bandwidth (27-28.5 GHz), with a peak gain of 20 dBi and radiation efficiency exceeding 60 %, and low SLLs from 26.7-28.7 GHz. The proposed architecture offers a compact, cost-effective alternative to traditional waveguide slot arrays, addressing their limitations in bandwidth and fabrication complexity while enhancing beamscanning capabilities for next-generation communication systems.
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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".