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Record W2168280055 · doi:10.1109/aps.1996.549700

A K-band circularly polarized cavity backed dielectric resonator

2002· article· en· W2168280055 on OpenAlexaff
Jesse Carrie, Karu P. Esselle, D. Roscoe, A. Ittipiboon, A. Sebak, L. Shafai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsCommunications Research Centre CanadaUniversity of Manitoba
Fundersnot available
KeywordsAxial ratioDielectricDielectric resonator antennaBandwidth (computing)Circular polarizationOpticsMicrostrip antennaAntenna feedMaterials scienceOptoelectronicsPhysicsAntenna efficiencyAntenna (radio)Computer scienceMicrostripTelecommunications

Abstract

fetched live from OpenAlex

A high efficiency linear polarized antenna consisting of a patch fed cavity has already been developed for use in personal communication terminals. It possesses several desirable features for active array applications, particularly the ease of RF component integration and heat removal. As part of the continued development of this antenna, it is very desirable to extend the capabilities to include future circularly polarized (CP) applications. The logical step for achieving the CP performance is to replace the linearly polarized feed patch with a single point feed CP patch. A single point feed is preferred in order to maintain the simplicity of the feed network. This approach, however, has a major drawback of possessing a narrow axial ratio bandwidth. To improve the axial ratio bandwidth, an alternative CP feed antenna is required. Research in circularly polarized dielectric resonator antennas (DRAs) has shown that a wide axial ratio bandwidth can be achieved from a single point fed DRA. The performance of the dielectric cross within a cavity structure is investigated. The optimization of the geometry and the effects on overall operation are discussed.

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 score0.004

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 science0.0010.000
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 head0.013
GPT teacher head0.182
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

Citations12
Published2002
Admission routes1
Has abstractyes

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