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Record W3200797021 · doi:10.1109/access.2021.3113899

Transparent Wideband Circularly Polarized GNSS Antenna for Vehicular Applications

2021· article· en· W3200797021 on OpenAlexafffund
Alireza Gharaati, Mohammad Saeid Ghaffarian, Rashid Mirzavand

Bibliographic record

VenueIEEE Access · 2021
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOpticsCoaxial antennaWidebandTurnstile antennaAntenna factorAntenna gainAntenna measurementAxial ratioPhysicsCircular polarizationDipole antennaOptoelectronicsMaterials scienceAntenna (radio)Computer scienceTelecommunicationsMicrostrip

Abstract

fetched live from OpenAlex

In this paper, a single-layer one-sided wideband coplanar waveguide (CPW)-fed transparent circularly polarized (CP) rectangular slot antenna with tilted beam is proposed. The antenna is designed on a glass substrate with a mesh grid in the conductive layer in order to increase the transparency. Since most of the vehicles’ windshields are inclined for about 30 degrees, the beam of the antenna is designed to be tilted for about 30 degrees in elevation. For measurement verification, an inclined stage is fabricated to resemble the inclined surfaces (such as the windshields). The 10-dB impedance bandwidth of the antenna is 40.8% (1.13 - 1.71 GHz) with a 3-dB axial ratio bandwidth of 47.4% (1.06 - 1.72 GHz) and a 3-dB gain bandwidth of about 54% (1.02 - 1.78 GHz ) with a maximum right handed circular polarization (RHCP) gain of 5.3 dBic. Also, the transparency of the antenna is about 95%. Therefore, the antenna is a good candidate for vehicular applications such as location tracking, using global navigation satellite system (GNSS) and specifically global positioning systems (GPS). Furthermore, a small-size transparent reflector is designed to be used below the proposed antenna in order to increase the front to back ratio (FBR).

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 score0.002

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.037
GPT teacher head0.279
Teacher spread0.242 · 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

Citations28
Published2021
Admission routes2
Has abstractyes

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