A New Meta-Surface based Ultra-Wideband High-Efficiency Phased Array with 10.5:1 Bandwidth and 70° Scanning Range
Bibliographic record
Abstract
This paper presents the design of an ultrawideband tightly coupled phased array (TCA) that achieves ultra-wide bandwidth, high efficiency, and a broad scanning angular range. Unlike traditional TCAs, which typically suffer from bandwidth limitations of less than 10: 1 in the absence of resistive materials, the proposed array leverages metasurfaces to overcome this constraint, enabling both ultra-wide bandwidth and high efficiency. The proposed array element is composed of multilayer metasurfaces, Marchand baluns, and impedance matching networks to ensure optimal performance across the entire frequency range. Operating from 0.2 GHz to 2.1 GHz, the proposed array achieves an active VSWR$\pm 70^{\circ}$in the E-plane and$\pm 45^{\circ}$in the H-plane. Notably, the array maintains a total radiation efficiency greater than 72% across its entire operating band, and a compact profile of less than$77 \text{mm}\left(0.051 \lambda_{\text{low}}\right)$is realized, demonstrating the design's potential for high-performance phased array applications.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".