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Record W2913229755 · doi:10.1002/mop.31744

Efficient integration of scalable active‐phased array antenna based on modular approach for MM‐wave applications

2019· article· en· W2913229755 on OpenAlexaff
Wael M. Abdel‐Wahab, Hussam Al‐Saedi, Ahmad Ehsandar, Ardeshir Palizban, M. Raeiszadeh, Safieddin Safavi‐Naeini

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2019
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsC-Com Satellite Systems (Canada)University of Waterloo
Fundersnot available
KeywordsSplitterPhased arrayExtremely high frequencyModular designAntenna (radio)WaveguidePlanarEngineeringScalabilityInsertion lossElectrical engineeringMaterials scienceElectronic engineeringOptoelectronicsOpticsComputer scienceTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

Abstract In this article, efficient integration approach of building large‐scale active‐phased array antenna (A‐PAA) for millimeter‐wave (mm‐wave) is presented. In this approach, large‐scale A‐PAA is constructed from smaller size A‐PAAs (modules) with inter‐element spacing of half‐wave length and assembled into efficient planar waveguide feeding platform based on substrate integrated waveguide (SIW) technology. Simple low profile vertical RF‐connection between the SIW splitter/combiner outputs and the modules using surface mount super‐mini board‐to‐board (SM‐SMC) is presented. Embedded metallic via‐pad transition integrated into the SIW board is employed to match the SM‐SMC to the SIW mode at Ka band. Sixteen‐way power splitter with transitions to SM‐SMCs is designed at 30 GHz. The measured results of S‐parameters show insertion loss of <0.70 dB over the operating frequencies 28.50‐30.50 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.568
Threshold uncertainty score0.763

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 head0.008
GPT teacher head0.196
Teacher spread0.189 · 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 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

Citations2
Published2019
Admission routes1
Has abstractyes

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