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Record W2971421959 · doi:10.1109/mwsym.2019.8700934

Very Concise Eight-Port Coupler for Two-Dimensional Beamforming Application

2019· article· en· W2971421959 on OpenAlexaff
Kejia Ding, Ahmed A. Kishk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsConcordia University
Fundersnot available
KeywordsMicrostripSTRIPSHybrid couplerBeamformingGround planePower dividers and directional couplersBandwidth (computing)Classification of discontinuitiesWavelengthImpedance matchingRat-race couplerElectrical impedanceTransmission linePort (circuit theory)Electric power transmissionOpticsTopology (electrical circuits)AcousticsElectronic engineeringPhysicsComputer scienceElectrical engineeringEngineeringTelecommunicationsMathematicsAntenna (radio)Mathematical analysis

Abstract

fetched live from OpenAlex

Compact and concise scheme of eight-port couplers without junctions discontinuities, vias, high or low characteristic impedance transmission lines are proposed. The structure is based on a back-to-back double layer microstrip configuration with a common ground in between. Only two half-wavelength microstrips on both layers with two half-wavelength slots in the ground form the complete configurations of the coupler. Remarkably, the property of the coupler at the central frequency is barely sensitive to the width of either the strips or the slots. The satisfying matching, isolation, and directional couplings with equal amplitude can be achieved within a more than 24% fractional bandwidth. An experimental example is fabricated and tested for verification and demonstration, and a satisfying correspondence can be observed between the results of simulated and measured. Besides, another functional example, a two-dimensional beamforming network for a 2×2 array is exemplified to exhibit the application of the eight-port coupler for beamforming.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.208
Teacher spread0.201 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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