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A Novel Microstrip Line Based Leaky Wave Antenna using Capacitive Loading

2021· article· en· W3195783407 on OpenAlexaff
Noben Kumar Roy, Farhan A. Ghaffar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsLakehead University
Fundersnot available
KeywordsAntenna (radio)MicrostripMicrostrip antennaVaricapCapacitive sensingRadiation patternImpedance matchingPatch antennaComputer scienceAcousticsOptoelectronicsElectronic engineeringElectrical engineeringElectrical impedanceMaterials scienceEngineeringPhysicsCapacitance

Abstract

fetched live from OpenAlex

A novel MLWA with integrated varactor diodes is presented in this work. The design relies on integrated FPMS unit cells that can modulate the substrate properties of the antenna to provide the required radiation characteristics. The phase constant of the wave along the antenna length is varied in a controlled fashion by virtue of these unit cells to steer the maximum of the beam. At 2 GHz, and using Duroid 5880 as the substrate, the antenna provides a simulated gain of 11 dBi with beam scanning in the backward direction. A good correlation can be observed between the theory and simulations that provides confidence on this proof-of-concept design. With high gain and acceptable impedance matching, this design provides a platform for investigation of FPMS based reconfigurable antenna elements.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.032
GPT teacher head0.222
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

Citations3
Published2021
Admission routes1
Has abstractyes

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