MétaCan
Menu
Back to cohort

Antenna Reflection Coefficient Measurement Using Six-port Technique at Millimeter-wave Frequency Band

2024· article· en· W4402978922 on OpenAlexaff
C. Hannachi, Matthieu Egels, P. Pannier, Serioja Ovidiu Tatu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsReflection coefficientExtremely high frequencyReflection (computer programming)Port (circuit theory)Antenna (radio)Frequency bandMillimeterOpticsPhysicsAcousticsComputer scienceElectronic engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

In this paper, a six-port simulation system and modelling are performed to estimate the antenna reflection coefficient at the millimeter-wave band, from 60 GHz to 65 GHz. The proposed six-port topology is built upon five H90° hybrid couplers whose measured scattering parameters are recomposed using the Data Access Components (DAC) tool available in the ADS (Advanced Design System) software. A proof of concept test is performed using as a device under test, the measured S- parameters of a millimeter-wave microstrip patch antenna prototype to accurately estimate the reflection coefficient through the power detection at the six-port reflectometer outputs.

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)0.001
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.069
GPT teacher head0.259
Teacher spread0.190 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicMicrowave and Dielectric Measurement TechniquesFrench-language works237,207