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Record W2142471724 · doi:10.1109/aps.1997.631531

Waveguide modal analysis of single and stacked probe-fed microstrip antennas with circular geometries

2002· article· en· W2142471724 on OpenAlexaff
Zhongxiang Shen, R.H. MacPhie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMicrostripMicrostrip antennaModal analysisPatch antennaWaveguideModalAntenna (radio)Materials scienceCoaxialOpticsElectrical impedanceInput impedanceAcousticsPhysicsTelecommunicationsEngineeringComposite material

Abstract

fetched live from OpenAlex

This paper presents a waveguide modal analysis of single and stacked microstrip antennas with circular geometries. Single and stacked circular, annular-ring, and annular-ring-loaded circular microstrip antennas fed by an off-centered coaxial line are considered. Both the substrate and superstrate are assumed to be uniaxially anisotropic. The waveguide modal analysis is realised by introducing a large cylindrical wall to enclose the patch antenna. The effects of the feeding probe and the finite thickness of patches are rigorously taken into account in the analysis. Moreover, it is also an efficient technique since the complicated multilayered microstrip antenna problem is simply treated as a waveguide junction cascading problem, which can be efficiently solved by the modal expansion method. Numerical results for the input impedance of single and stacked circular and annular-ring-loaded circular microstrip antennas are compared with experimental data measured by others. Good agreement 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.016
GPT teacher head0.184
Teacher spread0.169 · 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 designSimulation or modeling
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

Citations3
Published2002
Admission routes1
Has abstractyes

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