SIW beamforming of 2 × 2 and 4 × 4 AFLTSA arrays for MMW applications
Bibliographic record
Abstract
In this paper, a beamforming technique using multimode section based on s-parameters has been analyzed for antipodal fermi-linear tapered slot antenna (AFLTSA). The analysis is proposed for 2 × 2 and 4 × 4 sub arrays on Rogers 5880 substrate with a relative dielectric permittivity εr=2.2 in order to achieve an objective of high gain and narrow beamwidth, which can be used for target tracking and precise detection applications. The solution frequency is chosen as 32.5 GHz which yields 3 dB beamwidth of ~ 20° and ~13° for 2 × 2 and 4 × 4 AFLTSA structures respectively. The realized gain achieved for these two structures is 12.39 dB and 14.19 dB respectively. The simulation results for multimode section and sub array antenna structures are presented using Ansoft HFSS simulation tool.
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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 | 0.001 |
| 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".