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Record W2898248228 · doi:10.1049/iet-map.2018.5043

Millimetre‐wave antenna with tilted beam for future base station applications

2018· article· en· W2898248228 on OpenAlexafffund
Mohamad Mantash, Arun Kesavan, Tayeb A. Denidni

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAntenna (radio)Reflection coefficientConductorBeam (structure)OpticsReconfigurable antennaLoop antennaAntenna measurementEngineeringAcousticsRadiation patternElectrical engineeringMaterials sciencePhysicsCoaxial antennaAntenna factor

Abstract

fetched live from OpenAlex

A novel flexible and reconfigurable pattern antenna, integrated with an artificial magnetic conductor (AMC) surface, operating in the 29–31 GHz millimetre‐wave frequency band, is proposed. The designed antenna is a modified Yagi‐Uda antenna that uses as directors loop diamond shapes, allowing the bending of the structure in an easy way at high frequencies. The AMC structure is also composed of an array of diamond loops, printed on a grounded dielectric substrate without vias. Furthermore, an equivalent circuit model that allows the estimation of the resonant frequency and reflection coefficient phase of the AMC is presented. Using a flexible substrate in designing the proposed AMC antenna, different beam‐tilting angles can be obtained. Moreover, multiple pattern configurations are studied. The performance of the proposed AMC antenna is measured for flat and curved configurations. The maximum beam‐tilting angle is obtained for the curved AMC antenna configuration and is equal to +32° towards the + z direction with a realised gain of 12.1 dBi. Additionally, a beam‐tilting in the ± z elevation plane is achieved by integrating a single pole, double throw switching system. This method eliminates the complex steering system that uses phase shifters, which is traditional for the targeted applications.

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 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: none
Teacher disagreement score0.745
Threshold uncertainty score0.996

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 head0.225
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations14
Published2018
Admission routes2
Has abstractyes

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