MétaCan
Menu
Back to cohort

Circularly Polarized Folded Reflectarray Antenna

2023· article· en· W4327927716 on OpenAlexaff
Shimaa A. M. Soliman, Eman M. Eldesouki, Ahmed M. Attiya, Alois P. Freundorfer, Yahia M. M. Antar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsRoyal Military College of CanadaRoyal Ottawa Mental Health CentreQueen's University
FundersMinistry of Higher Education
KeywordsOpticsCircular polarizationTurnstile antennaAxial ratioAntenna (radio)DielectricDipole antennaPlanarRadiation patternPolarization (electrochemistry)PhysicsDipoleMaterials scienceCoaxial antennaMicrostripOptoelectronicsTelecommunicationsEngineeringComputer science

Abstract

fetched live from OpenAlex

This paper presents the analysis and design of an integrated low-profile circularly-polarized folded reflectarray antenna (FRA) for wireless communication applications in the ku band. The proposed FRA consists of a main reflectarray (MR), a tilted linearly polarized (LP) planar dipole antenna and a transmitarray. The main reflectarray consists of 713 pentagonal patch elements on a grounded dielectric substrate. The reflecting elements are adjusted to produce a 90° phase shift between the reflection coefficients in the two principal planes. On the other hand, the transmitarray consists of conducting circular patches printed on a dielectric slab. The combination of the reflectarray and transmitarray are designed to convert the linearly polarized radiation of the feeding planar dipole antenna to circular polarization. In this work a small focal to diameter ratio (F/ D) is chosen to be 0. 4 to reduce the overall antenna size. This design operates in the band from 11.5 to 12.5 GHz and the results show that the maximum antenna gain 22 dBi and the AR is 1.17 dB at 12 GHz.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.692
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.022
GPT teacher head0.245
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 teacher head, 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Antenna and Metasurface TechnologiesFrench-language works237,207