A Compact SIW Feeding Network with Arbitrary Distribution for Non-Uniformly Antenna Array Excitation
Bibliographic record
Abstract
This paper presents a simple and efficient feeding network for an antenna array with a small number of elements operating in the millimeter-wave (mm-wave) bands. The novel feeding method is based on a substrate-integrated waveguide (SIW) cavity feed by a unique line, resulting in a non-uniform power distribution without the use of a power divider. The proposed power splitter offers great flexibility in terms of elements and amplitude distribution. This feeding is associated with high-gain broadband vertical integrated Yagi-Uda antenna. The simulation with the incorporation of the vertical Yagi as an antenna element shows that the proposed antenna array has a reflection coefficient better than −10 dB with a fractional bandwidth of 32.4% over a frequency range of 24.15–33.5 GHz. Additionally, the designed antenna has a realized peak gain of 15.5 dBi at 30 GHz and an SLL reduction of 34 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".