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Record W2103444922

An electronically tunable half-mode substrate integrated waveguide leaky-wave antenna

2011· article· en· W2103444922 on OpenAlexaff
Asanee Suntives, Sean V. Hum

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVaricapLeaky wave antennaReturn lossCapacitorCapacitanceElectrical impedanceWaveguideOpticsMaterials scienceShunt (medical)Antenna (radio)AcousticsOptoelectronicsPhysicsVoltageMicrostrip antennaEngineeringElectrical engineeringElectrode
DOInot available

Abstract

fetched live from OpenAlex

In this paper, a new type of leaky-wave antenna (LWA) is proposed using half-mode substrate integrated waveguide (HMSIW) as the base structure. The HMSIW allows easy implementation of shunt tuning elements, which in turn enables changes in the dispersion characteristic of the LWA. By incorporating series and shunt tuning capacitors, i.e. varactor diodes, the LWA is able to scan from backward to forward angles at a fixed frequency. Since the structure is periodic in nature, Floquet analysis of its unit cell is used as the basis for the initial design to obtain estimated angles of the maximum beam and Bloch impedance. The antenna is also designed to minimize the number of shunt tuning components required to implement the desired scanning. From numerical simulations, the HMSIW LWA demonstrates scanning angles between −33° and +56° at 8.2 GHz over the capacitance range of 0.1–0.4 pF. The return loss is found to be larger than 5 dB in most cases. Finally, the proposed design is evaluated experimentally using unit cell prototypes.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
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
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.214
Teacher spread0.194 · 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

Citations18
Published2011
Admission routes1
Has abstractyes

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