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Record W2132659334 · doi:10.2528/pierb12052406

CSRRS FOR EFFICIENT REDUCTION OF THE ELECTROMAGNETIC INTERFERENCES AND MUTUAL COUPLING IN MICROSTRIP CIRCUITS

2012· article· en· W2132659334 on OpenAlexfundno aff
Xiaoke Han, Habiba Hafdallah-Ouslimani, Tao Zhang, A. Priou

Bibliographic record

VenueProgress In Electromagnetics Research B · 2012
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsReduction (mathematics)Coupling (piping)Electronic circuitMicrostripComputer scienceMaterials scienceElectronic engineeringElectrical engineeringEngineeringMathematicsComposite material

Abstract

fetched live from OpenAlex

This paper proposes an e-cient microstrip isolator fllter which suppresses the surface and lateral waves (SW and LW) in planar antenna arrays. The structure consists in a double or triple row of periodic and ∞ipped array of subwavelength Complementary Split Ring Resonators (CSRRs). The array of CSRRs is etched on a dielectric substrate backed by a metallic ground plane. These structures can both block the electromagnetic (EM) energy in one direction and guide it along the other transverse direction. In particular, the ∞ipped array of CSRRs presents wider bandgap characteristic (stopband ‚ 20%) than periodic array of CSRRs (» 16%) and conventional array of SRRs (‚ 12%). Then, the metamaterial fllter is inserted between two 6.1GHz probe-fed patch antenna elements separated by a distance of 0:8‚0. Excellent agreements between the simulated and the experimental results are obtained. In fact, a signiflcant reduction of the EM mutual coupling is achieved, more than 24dB, over a wide frequency bandwidth. Moreover, the proposed CSRR structures are compact, low complex and, as printed antennas, are very easy to manufacture. They have numerous applications in MIMO systems and directive phased arrays.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.034
GPT teacher head0.312
Teacher spread0.278 · 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

Citations11
Published2012
Admission routes1
Has abstractyes

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Same venueProgress In Electromagnetics Research BSame topicAntenna Design and AnalysisFrench-language works237,207