Aperture-Stacked Patch Antenna Array With Front-to-Back Ratio Enhancement for Radar Application at 28 GHz
Bibliographic record
Abstract
In this study, we propose a new aperture slot design for a 32-element microstrip patch antenna array operating at 28 GHz. To improve the performance of the antenna array, circular aperture slots have been integrated and thoroughly analyzed. The optimized structure consists of a lower substrate in Rogers RT3003 with a thickness of 0.5 mm and a loss tangent of 0.001, and an upper substrate in dielectric foam with a thickness of 0.254 mm and a dielectric constant of 1. A cost-effective way of increasing the front-to-back ratio is to install a reflector, which is a stacked aperture structure printed on a thin dielectric layer (0.254 mm) with a dielectric constant of 4.4 and a loss tangent of 0.025. Implementing these techniques in the 32-element antenna array resulted in a wide impedance bandwidth$(\vert \mathrm{S}11\vert <-10\ \text{dB})$of 11% around the 28 GHz center frequency, with a matching of less than −55 dB. In addition, the proposed reflector improves the front-to-back ratio by over 20 dB, and the structure achieves an impressive gain of around 22 dB.
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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 | 0.001 | 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".