MétaCan
Menu
Back to cohort
Record W2900627220 · doi:10.1109/tmtt.2018.2879013

2-D Butler Matrix and Phase-Shifter Group

2018· article· en· W2900627220 on OpenAlexafffund
Kejia Ding, Ahmed A. Kishk

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2018
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhase shift moduleParallelogramLossless compressionPlanarElectric power transmissionGroup delay and phase delayMathematicsPower dividers and directional couplersPhase (matter)Insertion lossMatrix (chemical analysis)Bandwidth (computing)Division (mathematics)Topology (electrical circuits)Electronic engineeringPhysicsComputer scienceTelecommunicationsElectrical engineeringEngineeringCombinatoricsArithmeticAlgorithmMaterials science

Abstract

fetched live from OpenAlex

The principles and design methods of two novel devices, 2-D Butler matrix (2-D-BM) and phase-shifter group, are presented. The 2-D-BM has 2M+N × 2M+N configurations that can be built based on the traditional 2M × 2M and a 2N × 2N BMs, and all the output ports can be arranged into a parallelogram configuration to fit the planar array. The major merits from traditional BMs, such as perfect matching, lossless transmission, spatially orthogonal beams, and equal power division can entirely be retained in the 2-D-BMs. As an integral component of 2-D-BMs, the phase-shifter groups are employed to offer more than two distinct values of phase delay on various paths without reference lines. The design procedure of the 2-D-BM and the analytical solution of the phase-shifter group are discussed and illustrated. As experimental verification, a 2-D-BM with 16 × 16 configurations feeding to a 4 × 4 square array for 2.4-GHz applications are fabricated and tested. Satisfying performances at matching, isolation, equal power division, and progressive phase differences among all ports can be observed covering a 17% relative bandwidth.

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 score0.761
Threshold uncertainty score0.886

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 head0.244
Teacher spread0.236 · 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

Citations55
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Transactions on Microwave Theory and TechniquesSame topicMicrowave Engineering and WaveguidesFrench-language works237,207