Field solution for dielectric and ring loaded annular slot array antennas
Bibliographic record
Abstract
An analytical method based on the boundary value method is presented, which gives the field solution for annular slot array antennas fed by a radial waveguide or cavity, and loaded by dielectric layers and array of conducting rings. The appropriate Green's functions for different regions of the antenna due to magnetic and electric current rings are obtained. Then, the induced magnetic current over the slots and electric current on the conducting rings are expanded into a Fourier series with unknown coefficients. The final formulation is achieved by employing the Green's functions and applying the boundary conditions. The result is a linear system of equations. The unknown coefficients of Fourier series are obtained by solving this system of equations. Then, the electric field just above the last layer is found and the induced magnetic current is written in terms of the electric field. The far field formulation is derived using this magnetic current. The method is confirmed through comparison of its results with those of available numerical methods and good agreement is obtained. In comparison to these numerical methods, the proposed method is more efficient in computation time and memory requirement. The formulation is used to study the effects of dielectric loading and conducting ring loading. It is shown that both methods can improve the annular slot array antenna performance. The benefits and problems associated with each configuration are discussed and the effects of various parameters are investigated. Finite structures are also investigated, where open cavities with and without chokes and dielectric cover are used to shape the radiation patterns and improve the performance.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".