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Record W2147978116 · doi:10.1109/eucap.2014.6902204

Coupling estimation in receiving antenna systems for array calibration

2014· article· en· W2147978116 on OpenAlex
Simon Henault, Symon K. Podilchak, Said Mikki, Yahia M. M. Antar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsRoyal Military College of CanadaQueen's UniversityRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsAntenna (radio)Coupling (piping)CalibrationElectronic engineeringGround planeCompensation (psychology)Computer scienceAntenna arrayAcousticsConductorPatch antennaMicrostrip antennaPhysicsEngineeringTelecommunicationsMathematicsGeometry

Abstract

fetched live from OpenAlex

A general approach is examined to predict the operation of receiving antennas and arrays where a matrix formulation is used to characterize the antenna system under study. Developed concepts are also extended to coupling ratio predictions and array calibrations. The proposed methodology is validated by comparing calculated predictions to measurements and simulations of a practical antenna system, defined by a single 2.5 GHz conductor backed patch antenna operating above a ground plane platform. Investigations are also extended to a two and four element patch array. The developed procedures are also applicable to other antenna system configurations, complex scattering environments, and practical compensation techniques for array processing.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.210
Teacher spread0.199 · 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

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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