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A 60-GHz Gain Enhanced Vivaldi Antenna On-Chip

2018· article· en· W2909911312 on OpenAlexaff
Kamel Sultan, Haythem H. Abdullah, Esmat A. Abdallah, Mohamed Ahmed Basha, Hadia El‐Hennawy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsVivaldi antennaAntenna (radio)Antenna efficiencyRadiation patternAntenna factorAntenna measurementOpticsAntenna gainAntenna apertureMaterials scienceCoaxial antennaOptoelectronicsPhysicsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

A Vivaldi antenna with three techniques to enhance the radiation properties is introduced. The first technique is the insertion of an elliptical patch parasitic radiating element in the Vivaldi aperture to enhance the coupling between arms and to produce strong radiation in the end fire direction. The second technique is the addition of corrugation at the antenna edge to improve the antenna characteristics. The third technique is insertion of planar reflector at the backend of the antenna that enhance the front-to-back (F/B) ratio to a great extent. The antenna is designed using standard 0.18 μm six metal layer CMOS technology. The overall size of the antenna on chip (AOC) is 500 umx870 um. The proposed antenna reveals end-fire radiation pattern with 0.7 dBi simulated average gain and 37% simulated radiation efficiency.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.881
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)0.0010.003

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 head0.013
GPT teacher head0.224
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2018
Admission routes1
Has abstractyes

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