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Record W1488306763 · doi:10.1109/ieee-iws.2015.7164527

Wideband millimeter-wave SIW cavity backed patch antenna fed by substrate integrated coaxial line

2015· article· en· W1488306763 on OpenAlexaff
Tao Zhang, Yan Zhang, Wei Hong, Ke Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsWidebandMaterials scienceExtremely high frequencyOptoelectronicsBandwidth (computing)Radiation patternAntenna gainOpticsAntenna efficiencyElectrical engineeringAntenna (radio)PhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

In this paper, a wideband substrate integrated waveguide (SIW) cavity backed patch antenna element is proposed for high-gain arrays at millimeter-wave bands. By compensating the inductance of the feeding metallic via with a capacitive ring slot on the ground plate, an additional resonance is introduced to the patch mode to expand the bandwidth. To suppress the backward radiation from the slot and enhance antenna gain, a back SIW cavity is designed. Moreover, the low-loss and compact substrate integrated coaxial line (SICL) is employed as the feeding line. The simulated −10/−15 dB impedance bandwidth of the element is 14.9%/11.6% (both at 43 GHz). The introducing of the back cavity and SICL makes the element suitable for large wideband high-gain millimeter-wave arrays with excellent front-to-back ratios (FBRs) and stable radiation patterns on printed circuit boards (PCBs). As an illustrative example, a 2×2 corporately-fed sub-array is developed and tested. The −10 dB impedance bandwidth is 11.7%, and the peak gain is 11.4 dBi with a simulated radiation efficiency of 88% and measured FBR of above 20 dB.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
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)0.0000.000

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 head0.026
GPT teacher head0.213
Teacher spread0.187 · 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.

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

Citations18
Published2015
Admission routes1
Has abstractyes

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