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Record W1545511623 · doi:10.1049/iet-map.2011.0273

Circular polarisation from dual-layer square-ring microstrip antennas

2012· article· en· W1545511623 on OpenAlexaff
Saeed I. Latif, L. Shafai

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2012
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBeamwidthGround planeAxial ratioOpticsBandwidth (computing)Microstrip antennaPhysicsSquare (algebra)Patch antennaMicrostripAntenna (radio)Circular polarizationGeometryTelecommunicationsMathematicsEngineering

Abstract

fetched live from OpenAlex

Stacked microstrip square-ring antennas are investigated for circular polarisation (CP). Enhancement of axial ratio bandwidth is obtained using stacked square rings and applying corner perturbations to both parasitic and driven rings. Both negative and positive corner perturbations are used and wide axial ratio bandwidths are demonstrated. A novel approach is presented, where a combination of positive and negative perturbations is adopted in the driven and parasitic rings, respectively, which resembles a sequential rotation and offers broad axial ratio bandwidth, along with a wide axial ratio beamwidth. The effects of finite ground plane on the CP performance of this antenna are studied, and methods are presented to overcome the problems associated with the degradation of the CP performance because of the finite ground plane. The effect of positioning the antenna asymmetrically on the ground plane is also studied, which shows that the ground plane symmetry is important for the CP antenna. The measured 3 dB axial ratio bandwidth of approximately 5.15% is achieved for dual-layer square-ring antennas. The measured right-hand CP (RHCP) gain is in excess of 7 dBic for a wide frequency range. The simulation results are in good agreement with the measured data.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.316
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.220
Teacher spread0.204 · 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 teacher head, not a consensus.

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

Citations26
Published2012
Admission routes1
Has abstractyes

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