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Record W4285387503 · doi:10.1049/mia2.12281

A single‐layer circularly polarized planar lens antenna at millimetre‐wave

2022· article· en· W4285387503 on OpenAlexaff
Samaneh Sadeghi‐Marasht, Mohammad Reza Rahimi, Mohammad S. Sharawi, Anding Zhu

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsPolytechnique Montréal
FundersScience Foundation Ireland
KeywordsMillimetre wavePlanarOpticsMillimeterAntenna (radio)Extremely high frequencyLens (geology)PhysicsMaterials scienceTelecommunicationsEngineeringComputer science

Abstract

fetched live from OpenAlex

Abstract This paper proposes a novel single‐layer planar lens antenna with the capability of keeping circular polarization (CP) of the incoming CP wave and enhanced gain for millimetre‐wave applications. Because of the symmetric design of the lens unit cell, a 90‐degree phase difference between two modes of the incoming CP wave can be maintained with high amplitude. Furthermore, the phase variations created by the designed unit cells change the phase of the incoming wave and result in antenna gain enhancement. Two different feeding antennas, a CP patch antenna and a 2 × 2 CP antenna array, are used as the feeding section to evaluate the performance of the proposed lens. Maximum gains of 19.2 dBiC and 23.4 dBiC with −10 dB impedance bandwidths of 3.5% and 2.9% at Ka‐band are reported for the proposed lens fed by these two CP antennas, respectively, while keeping the axial ratio value below 3 dB. The substrate material of the proposed lens design is RO4003 C with the total dimensions of 9.79 λ 0 × 9.79 λ 0 × 0.047 λ 0 (where λ 0 is the free space wavelength at 28 GHz). The measurements conducted on the fabricated prototypes agree very well with the simulation and analysis results.

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 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 score0.108
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.213
Teacher spread0.184 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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