A Broadband LTCC‐Based Cavity‐Backed Patch Phased Array Antenna for Ka‐Band Applications
Bibliographic record
Abstract
ABSTRACT This paper presents a 4 4 millimeter‐wave (mm‐wave) phased array antenna operating in the Ka‐band (27–34 GHz) fabricated using low‐temperature co‐fired ceramic (LTCC) technology. The proposed array employs several innovative design features to achieve superior performance. An oversized aperture, combined with a parasitic patch and an embedded air cavity, significantly enhances the gain and bandwidth. Additionally, an asymmetric stripline feed structure minimises back radiation and facilitates multi‐layer integration, enabling seamless compatibility with beamforming systems. The antenna demonstrates a measured impedance bandwidth of 27% and a realised gain of 17.5 dBi at 29 GHz, with a scanning angle of . These results establish the design as a compact, high‐efficiency, and broadband solution for mm‐wave phased array applications in 5G and beyond. Experimental validation using a 16‐channel beamformer module further highlights the practicality of the design for real‐world deployment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".