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Record W2090868802 · doi:10.1109/tap.2013.2277615

Novel Low Profile Wideband Monopole Antenna for Avionics Applications

2013· article· en· W2090868802 on OpenAlexaff
Lida Akhoondzadeh-Asl, Jonathan Hill, Jean‐Jacques Laurin, Mathieu Riel

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2013
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsAntenna measurementMonopole antennaStanding wave ratioRadiation patternDipole antennaWidebandBandwidth (computing)Antenna efficiencyComputer scienceAcousticsPhysicsAntenna factorDirectional antennaElectrical engineeringAntenna (radio)Microstrip antennaTelecommunicationsOpticsEngineering

Abstract

fetched live from OpenAlex

In this communication, a new broadband antenna with a very low profile is proposed. The antenna inherits the wide bandwidth of the blade antenna, while its height is considerably reduced to 0.03 λ0, where λ0is the wavelength of the lowest operating frequency. This new design consists of a top loaded monopole with several shorting pins and an inductive loading. The antenna resonates at two distinctive frequencies determined by the shorting pins and inductive loading and the wideband characteristic is achieved by the control of the resonance separations. The inductive loading is created by a shorted metallic disk embedded into the antenna structure. This new method of inductive loading facilitates the antenna fabrication while the physical size of the antenna is kept compact. A prototype was fabricated and its VSWR and far field radiation pattern were measured. The antenna provides a bandwidth of 17% for VSWR smaller than 3. Also, a minimum realized gain of 1 dBi was achieved over the frequency bandwidth in which the antenna is well matched.

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 score0.002
Threshold uncertainty score0.005

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.212
Teacher spread0.201 · 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

Citations40
Published2013
Admission routes1
Has abstractyes

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