Split Ring Resonator Printed Microstip Based Antenna array for Satellite and Radar Applications
Bibliographic record
Abstract
An article that presents a simple printed antenna array that includes a split ring resonator and a stub patch is offered here.A microstrip feed line is used to provide the antenna with power.The thin copper with a thickness of 0.0035 millimeters was used to construct the hexagonal SRR and the rectangular stub patch.Using CST Software, the antenna array is developed and then manufactured on a substrate made of FR4.Tri-band operation at 19.46 GHz, 29.16 GHz, and 40.14 GHz is attainable with the antenna array that has been presented, which is equipped with a split-ring resonator.The use of parametric analysis allows for the determination of the optimal dimensions for the proposed antenna dimensions.Validation of the performance of the proposed antenna is accomplished via the use of simulated scenarios.A presentation is made on return loss, surface current density, gain, directivity, three-dimensional radiation pattern, E-plane radiation pattern, and H-plane radiation pattern.Because of its small size, steady radiation pattern, high gain, ability to be applied across three bands, and excellent impedance matching, this antenna is particularly well-suited for use in satellite and radar communication communications.
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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) | 0.003 | 0.002 |
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".