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A Ku-Band Omnidirectional High-Gain Printed Antenna Based on Continuous Transverse Stub and Dipole Configuration

2023· article· en· W4386920034 on OpenAlexaff
Pingyu Li, Shu Lin, Zhiheng Liu, Yingqiao Wang, Xinyue Zhang, Xingqi Zhang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStub (electronics)Omnidirectional antennaTransverse planeDipole antennaHigh-gain antennaJ-pole antennaKu bandDipolePhysicsMaterials scienceOpticsAntenna (radio)Electrical engineeringCoaxial antennaEngineeringStructural engineering

Abstract

fetched live from OpenAlex

The Ku band is one of the most commonly used bands in satellite mobile communication systems. This paper introduces an omnidirectional high-gain printed antenna designed specifically for the Ku band. It is an antenna array composed of a continuous transverse stub (CTS) structure and a dipole formed by a pair of triangular patches. The antenna uses a printed structure for miniaturization and low profile, and is fed by a coplanar waveguide (CPW) and a coaxial line. Simulation results show that the antenna's bandwidth, defined as$\vert S_{11}\vert < -10$dB, spans from 12.3 GHz to 15.5 GHz, with a relative bandwidth of 23%. The maximum gain of the antenna is 7.3 dBi at 13 GHz, and the roundness is less than 3.3 dB. The designed antenna effectively covers the most commonly used 12–14 GHz band within the Ku band, offering characteristics such as high gain, omnidirectional radiation, and miniaturization, which make it suitable to be applied to mobile communication systems.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.009
GPT teacher head0.199
Teacher spread0.190 · 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
Published2023
Admission routes1
Has abstractyes

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