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Record W1971825440 · doi:10.1109/tap.2013.2253298

Using Rotatable Planar Phase Shifting Surfaces to Steer a High-Gain Beam

2013· article· en· W1971825440 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 Transactions on Antennas and Propagation · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsBeam steeringBeam waveguide antennaOpticsOffset (computer science)Fresnel zone antennaReconfigurable antennaAntenna apertureAntenna (radio)Periscope antennaDirectional antennaOmnidirectional antennaBeam (structure)PlanarRotation (mathematics)Antenna gainRadiation patternMaterials scienceComputer sciencePhysicsCoaxial antennaSmart antennaTelecommunications

Abstract

fetched live from OpenAlex

Phase shifting surface (PSS) technology has been used to develop a 30 GHz beam steering antenna. The concept is similar to that of a pair of dielectric wedges placed in front of a primary antenna for beam steering. The initial prototype antenna is made of a horn-fed PSS phase-correcting Fresnel zone plate above which are placed two rotatable circular linear phase progression PSSs. These PSSs have rotation capability along their planes. Their rotation allows for achieving beam steering in the upper hemisphere. An additional prototype antenna makes use of a rotatable offset-beam PSS phase-correcting Fresnel zone plate and a single linear phase progression PSS to achieve beam steering with a higher aperture efficiency. These prototypes confirm the feasibility of using PSS technology for achieving a lightweight, low-cost and efficient beam steering antenna.

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 score0.456
Threshold uncertainty score0.663

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 head0.027
GPT teacher head0.260
Teacher spread0.232 · 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