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Record W1960265463 · doi:10.1109/aps.2015.7305420

Wideband compact Vivaldi Antenna loaded with dielectric lens for millimeter-wave applications

2015· article· en· W1960265463 on OpenAlexaff
Muhammad A. Ashraf, Osama M. Haraz, Abdel-Razik Sebak, Saleh A. Alshebeili

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsConcordia University
FundersKing Abdulaziz City for Science and Technology
KeywordsVivaldi antennaBeamwidthOpticsPhysicsWidebandRadiation patternAntenna (radio)TelecommunicationsComputer science

Abstract

fetched live from OpenAlex

Wideband Antipodal Vivaldi Antenna (AVA) loaded with dielectric lens for fifth generation gigabit communication and millimeter-wave (MMW) imaging system is presented. The simulated results demonstrated that proposed antenna can be operated from 10 GHz up to 65 GHz band showing 146% fractional bandwidth. The designed antenna is considered for transmission of short time duration pulses covering 27–33 GHz frequency band. We examined time domain performance of our proposed AVA for an ultra-short 16 ps fifth derivative Gaussian pulse excitation. We found up to 11% improvement in pulse radiation efficiency for the 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> derivative Gaussian pulse excitation compared to conventional 1 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> order Gaussian. Moreover, gain improvement is up to 7 dB by loading half spherical dielectric lens over AVA. Further analysis is done by calculation of energy pattern and pulse fidelity factor (PFF) for both kinds of pulse excitations. Within 3-dB beamwidth of the proposed antenna PFF value is found more than 90%. The AVA with lens reduces the 3 dB energy beamwidth from ±18° to ±8° owning side lobe levels less than −20 dB. The proposed antenna is compact in size with physical dimension of 31×38 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.430

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 head0.040
GPT teacher head0.230
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations5
Published2015
Admission routes1
Has abstractyes

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