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Record W4235235970 · doi:10.21203/rs.3.rs-124574/v1

Novel Wideband Circularly Polarized DRA With Squint-free Radiation Characteristics

2020· preprint· en· W4235235970 on OpenAlexaff
M. Abedian, Mohsen Khalily, Vikrant Singh, Pei Xiao, Rahim Tafazolli, Ahmed A. Kishk

Bibliographic record

VenueResearch Square · 2020
Typepreprint
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsOpticsDielectric resonator antennaWidebandAxial ratioBandwidth (computing)ResonatorPhysicsCoaxialDielectricBeam (structure)RadiationCircular polarizationMaterials scienceOptoelectronicsTelecommunicationsMicrostripEngineering

Abstract

fetched live from OpenAlex

Abstract A new single-fed circularly polarized dielectric resonator antenna (CP-DRA) without beam squint is presented. The DRA comprises of an S-shaped dielectric resonator (SDR) with a metalized edge and two rectangular dielectric resonator (RDRs) blocks. A horizontal-section is applied as an extension of the SDR, and a vertical-section is placed in parallel to the metallic edge. A vertical coaxial probe is used to excite the SDR and the vertical RDR blocks through an S-shaped metal element and a small rectangular metal strip, respectively. The two added RDRs that form an L-shaped DR improve the radiation characteristics and compensate for the beam squint errors. A wideband CP performance is achieved due to the excitation of several orthogonal modes such as TEx d11, TEy 1d1, TEz 121, TEy 112, TEx 131, and TEy 311. The experimental results demonstrate an impedance bandwidth of approximately 66:8% (3:71-7:45 GHz) and a 3-dB axial-ratio (AR) bandwidth of about 54:8% (3:72-6:53 GHz) with a stable broadside beam achieving a measured peak gain of about 4:64dBi. Furthermore, a 100% correction in beam squint value from q = 41° to q = 0° with respect to the antenna boresight is achieved.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.044
GPT teacher head0.296
Teacher spread0.253 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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