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Record W2991731786 · doi:10.1109/lawp.2019.2957288

Broadband Folded Reflectarray Fed by a Dielectric Resonator Antenna

2019· article· en· W2991731786 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsConcordia University
FundersNational Key Research and Development Program of China Stem Cell and Translational ResearchNational Natural Science Foundation of China
KeywordsBroadbandMicrostripBandwidth (computing)Dielectric resonator antennaOpticsMaterials scienceResonatorDielectricMicrostrip antennaPhase compensationWidebandLinearityPolarization (electrochemistry)OptoelectronicsAntenna (radio)PhysicsElectronic engineeringEngineeringTelecommunications

Abstract

fetched live from OpenAlex

In this letter, a broadband folded reflectarray (FRA) is designed and fabricated. The FRA consists of a main reflectarray, the polarizing grid, and a feeding dielectric resonator antenna embedded in its structure. With the help of the multilayered reflecting element, the main reflectarray is capable to provide 90°of polarization rotation and proper phase compensation for a linearly polarized incident wave. By altering the microstrip line length, a wide phase coverage can be obtained with a good phase linearity. To validate the FRA design, both simulations and experiments are conducted, and good agreements are obtained. The FRA accomplishes 31% matching bandwidth from 9 to 12.1 GHz. In addition, a high aperture efficiency of 50.3% and the peak gain of 28.08 dBi at 10.8 GHz is achieved. Compared with the published works, the proposed FRA is especially advantageous for low profile and good efficiency.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.006
GPT teacher head0.205
Teacher spread0.199 · 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