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Millimeter-Wave Broadband Circularly-Polarized Dielectric Resonator Antenna Array

2023· article· en· W4408717357 on OpenAlexaff
Amjad Iqbal, Muath Al‐Hasan, Ismail Ben Mabrouk, Tayeb A. Denidni

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsExtremely high frequencyBroadbandDielectric resonator antennaOpticsAntenna (radio)Coaxial antennaPhysicsTurnstile antennaDielectricCircular polarizationResonatorDipole antennaTelecommunicationsOptoelectronicsComputer scienceMicrostrip

Abstract

fetched live from OpenAlex

This paper proposes a broadband circularly-polarized (CP) sequential-fed dielectric resonator antenna (DRA) array for millimeter-wave (mm-wave) applications. The proposed antenna array has a wide 10-dB bandwidth of 4.36 GHz (24.89-29.25 GHz) and peak gain of more than 7.28 dBi within the operating band. The broadband response is achieved by placing a ring-shaped DRA over the cylindrical one. In this work, a sequential feeding network along with Z-shaped slots beneath the DRAs is used to achieve CP operation in a 2×2 array. It exhibits a 3-dB axial ratio bandwidth of 1.87 GHz (26.5-28.37 GHz). Moreover, it has a total efficiency and radiation efficiency of 80.14% and 95.83%, respectively. Due to its broadband operation range, wide 3-dB axial ratio bandwidth, high gain and efficiency, this antenna array is suitable choice for mm-wave wireless communication devices.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.016
GPT teacher head0.204
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2023
Admission routes1
Has abstractyes

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