Multioctave Bandwidth of Parallel-Feeding Network Based on Impedance Transformer Concept
Bibliographic record
Abstract
A generalized scheme to design a parallel-feeding network with a bandwidth of several octaves for uniform distribution arrays is proposed. Considering the entire network as a continuous impedance-transition device between the feed and all element ports, and therefore applying the design methods of the impedance transformer on the device, a broad matching bandwidth can be achieved without the traditional quarter-wavelength T-junctions concept. Three feeding networks based on the binomial and Chebyshev polynomial and exponential taper transformers for a 4 × 4 patch array are designed for demonstration, verification, and comparison of the proposed concept. An experimental sample of the taper network is fabricated and tested, and a fractional bandwidth better than 3:1 can be achieved. This method is not limited to the specific form of transmission lines and can perform even better for grander scale arrays.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 0.000 |
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 teacher head, 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".