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Record W2888536223 · doi:10.1109/lawp.2018.2866086

Beam Steering in Narrow-Wall Slotted Ridge Waveguide Antenna Using a Rotating Dielectric Slab

2018· article· en· W2888536223 on OpenAlexaff
Amirhossein Ghasemi, Jean‐Jacques Laurin

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2018
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsBeamwidthOpticsBeam steeringDirectivityWaveguideMaterials scienceSlabAntenna (radio)DielectricBeam (structure)Beam waveguide antennaRotation (mathematics)Radiation patternAntenna efficiencyPhysicsEngineeringOptoelectronicsElectrical engineeringGeometry

Abstract

fetched live from OpenAlex

A beam-steering technique in narrow-wall slotted ridge waveguide at X-band is proposed. An array of inclined slots cut in the narrow wall of a rectangular ridge waveguide is employed. Beam steering is achieved by rotating a dielectric slab inside the waveguide. The change of wavelength at different rotation angles of the slab is used as the phase shifter. To confirm the usefulness of this method, a short nonresonant 20-slot waveguide array antenna with an element spacing of d = 0.44λ0 has been designed, built, and tested. It is shown that the main beam can be steered from near broadside (0 = 6°) toward end fire (0 = 42°) by rotating the dielectric slab by 90°. A directivity variation of 2.8 dB and a half-power beamwidth increase of 3° are observed over this scan at the design frequency. The gain varies from 11.17 to 12.47 dB over the scanning range. Due to the relatively short length of the prototype, losses in the terminating load have limited the radiation efficiency to values between 43% and 86%. The E-plane radiation patterns measured at the operation frequency of 9.35 GHz and compared very well with the simulated 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
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 integrity0.0000.000
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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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

Citations15
Published2018
Admission routes1
Has abstractyes

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