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Record W2155674105 · doi:10.1109/tap.2015.2389240

Beam-Squinting Reduction of Leaky-Wave Antennas Using Huygens Metasurfaces

2015· article· en· W2155674105 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLeaky wave antennaBroadsideBandwidth (computing)OpticsBeam (structure)PhysicsDirectional antennaFrequency bandMetamaterialHuygens–Fresnel principleBeam steeringAntenna (radio)Computer scienceMicrostrip antennaTelecommunications

Abstract

fetched live from OpenAlex

A novel approach is presented to reduce the beam squinting of radiating structures with emphasis on leaky-wave antennas (LWAs). This is achieved by taking advantage of the interesting frequency-dependent variation of the generalized law of refraction in metasurfaces, in combination with the beam-squinting characteristics of LWAs dictated by their dispersion diagram. An X-band coplanar waveguide leaky-wave antenna (CPW-LWA) and a Huygens metasurface are fabricated and experimental results verify that the proposed concept can reduce the beam squinting of the LWA by 50% over a 10% bandwidth at angles around broadside. The proposed method is shown to be an excellent approach to build simple, low-profile, and lowcost communication systems composed of LWAs with low beam-squinting characteristics over a reasonably wide frequency range.

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 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: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.775

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 head0.060
GPT teacher head0.260
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