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Record W1545028007 · doi:10.23919/eumc.2011.6101842

A 60 GHz system-on-package balanced antipodal Vivaldi antenna with stepped dielectric director (BAVA-SDD) in LTCC

2011· article· en· W1545028007 on OpenAlexaff
G. Brzezina, Rony E. Amaya, David Lee, Khelifa Hettak, John Sydor, Langis Roy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsCarleton UniversityCommunications Research Centre Canada
Fundersnot available
KeywordsVivaldi antennaBalunMaterials scienceBandwidth (computing)Antenna gainAntenna (radio)OptoelectronicsDielectricImpedance matchingOpticsAntenna measurementElectrical engineeringComputer scienceAntenna factorTelecommunicationsElectrical impedanceEngineeringPhysics

Abstract

fetched live from OpenAlex

To improve the performance of Vivaldi antennas, a novel stepped dielectric director (SDD) is designed. Compared to the same antenna without an SDD, the new antenna has higher gain. The SDD is added to a balanced antipodal Vivaldi antenna (BAVA) to form a BAVA-SDD with dimensions of 12.4 × 4.2 × 0.776 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>, which can be easily implemented in multilayered substrate technology. The director is created by extending the substrate of the existing antenna and using cavities to create a stepped profile. No further post-processing is required and a bandwidth limiting balun is unnecessary. Low temperature co-fired ceramic technology (LTCC) is used to implement the antenna and make it possible to integrate with other transceiver components to create a system-on-package solution (SoP). The BAVA-SDD displays a broad impedance bandwidth centered around 60 GHz and maintains a stable gain in this range. Measured results are in good agreement with simulations and indicate an insertion loss below −10 dB from 57 to 63 GHz and a boresight gain of 10.25 dBi at the center frequency of 60 GHz. To our best knowledge, this is believed to be the highest gain single element LTCC antenna reported at 60 GHz.

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: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.185
Teacher spread0.173 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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