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Record W2903281573 · doi:10.1109/tap.2018.2883574

Millimeter-Wave Low-Profile Continuous Transverse Stub Arrays With Novel Linear Source Generators

2018· article· en· W2903281573 on OpenAlexaff
Yunlong Lu, Qingchun You, Yi Wang, Yang You, Jifu Huang, Ke Wu

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2018
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversité de MontréalPolytechnique Montréal
FundersEngineering and Physical Sciences Research CouncilNatural Science Foundation of Zhejiang ProvinceNingbo UniversityNational Natural Science Foundation of China
KeywordsStub (electronics)Materials scienceTransverse planeBroadbandExtremely high frequencyOpticsAntenna arrayMillimeterOptoelectronicsAntenna (radio)AcousticsComputer sciencePhysicsElectrical engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

This paper presents a new type of continuous transverse stub (CTS) antenna array with a novel linear source generator (LSG). The conventional multilayer parallel-plate waveguide (PPW) feed and pillbox structure are eliminated and replaced with a more compact partially corporate feed network. This helps to achieve a lower profile (or reduction of antenna layers) and high performance of broadband and high efficiency. For validation, two prototypes are demonstrated-one based on hollow waveguides operating at 34-41 GHz (Array-I) and the other based on substrate integrated waveguides operating at 24.5-29.5 GHz (Array-II). Both arrays contain eight radiation slots, fed from a single-layer PPW junction. The required quasi-transverse electromagnetic wave excitations are achieved by using the novel LSG of a jagged cavity structure. The detailed design methodology and analyses are provided in this paper. Measurements show that antenna efficiencies of over 83% and 82% with the peak gains of better than 27.6 and 20.6 dBi are achieved for Array-I and Array-II, respectively. These low-profile CTS designs are well suited for current and emerging millimeter-wave applications such as 5G and point-to-point communications.

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 score0.692
Threshold uncertainty score0.792

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 head0.012
GPT teacher head0.194
Teacher spread0.182 · 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

Citations31
Published2018
Admission routes1
Has abstractyes

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