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Record W4388286201 · doi:10.1109/tmtt.2023.3327866

Compact 4 × 4 Multilayer Butler Matrix With Four-Slot Array

2023· article· en· W4388286201 on OpenAlexaff
Mostafa O. Shady, Ahmed A. Kishk

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2023
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsConcordia University
Fundersnot available
KeywordsNotationMatrix (chemical analysis)MathematicsAlgorithmAlgebra over a fieldPure mathematicsArithmeticMaterials science

Abstract

fetched live from OpenAlex

Novel multilayer Butler matrix (BM) miniaturizing layouts applicable to any$N$$\times$$N$are proposed, reducing the conventional size by more than twofold. The layouts eliminate crossover couplers, considerably enhancing compactness and isolation. A$4$$\times$$4$multilayer BM is designed based on the layouts, and the components used to build the overall structure are designed and analyzed to fit with any$N$$\times$$N$BM. The BM is based on air microstrip lines (MSLs) packaged by an artificial magnetic conductor (AMC) to suppress wave leakage and radiation loss. It operates from 27 to 31 GHz with a 0.6$\pm$1.4-dB insertion loss and a phase imbalance of$\pm$8$\degree$. An isolation better than 14 dB with a good matching level is achieved. A four-slot linear antenna array is connected to the BM. The measured and simulated radiation characteristics are compared and found to be in good agreement.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.013
GPT teacher head0.235
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2023
Admission routes1
Has abstractyes

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