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Record W2952764696 · doi:10.1109/tap.2019.2922446

Millimeter-Wave Substrate Integrated Gap Waveguide Leaky-Wave Antenna for WiGig Applications

2019· article· en· W2952764696 on OpenAlexaff
Mohammad Reza Rahimi, Nima Bayat-Makou, Ahmed A. Kishk

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2019
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsConcordia UniversityUniversité de MontréalPolytechnique Montréal
Fundersnot available
KeywordsBroadsideLeaky wave antennaAntenna efficiencyBandwidth (computing)Extremely high frequencyMaterials scienceAntenna (radio)WaveguideOpticsOptoelectronicsRadiation patternRadiationMicrostrip antennaPhysicsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

A new design of an H-polarized leaky-wave antenna (LWA) based on the substrate integrated gap waveguide (SIGW) technology is introduced. The antenna shows good scanning capability from the backward to a near broadside direction (from -36° to -15°) with a peak gain of 17.67 dBi within 1.3 dB variation over 57-64 GHz and a wide impedance bandwidth. A pair of LWAs is parallelly excited through a Y-power divider and terminated with the other end in series providing an additional 3 dB gain compared to the single LWA. Both designs show over 88% radiation efficiency and over 86% total efficiency. The fabricated prototypes of both antennas are made of multi-layered PCB technology. The measurement results show a good agreement with the simulations.

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: none
Teacher disagreement score0.927
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 head0.023
GPT teacher head0.218
Teacher spread0.195 · 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

Citations27
Published2019
Admission routes1
Has abstractyes

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