Radial Line Slot Array Antenna Feeder Design Using Optimization Algorithm
Bibliographic record
Abstract
High Bandwidth is required today to meet the demands for high data rates needed for future Direct-to Home (DTH) services in Ka-Band. In this work, the Brainstorm Optimization (BSO) method for the feeder architecture design is utilized to meet this need at 28GHz. The BSO is used as tool for the optimization of the beam squinted antenna feeder parameters in terms of air gaps, radial cavity dimensions and dielectric thickness needed for the optimal customization of the conventional Sub-Miniature A (SMA) connector for enhanced bandwidth realization in Ka Band at 28 GHz required for Direct to Home Services (DTH). Solutions values realized from the BSO algorithm using MATLAB computations were included in a visual BASIC program in the macros of CST 2017 microwave suites for pattern generation and antenna radiation characteristics computations A radiation efficiency value of 95.97% was achieved, an Impedance Bandwidth of 99.61% and Gain of 23.09dBi were achieved. Results were compared with earlier studies on Ka Band at 28GHz and the results shows an improvement in the bandwidth and directivity values.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".