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A homodyne multiport network analyzer forS-parameter measurements of microwaveN-port circuits/systems

2000· article· en· W1578968687 on OpenAlexaff
Noureddine Boulejfen, Ammar B. Kouki, Fadhel M. Ghannouchi

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2000
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsÉcole de Technologie SupérieurePolytechnique Montréal
Fundersnot available
KeywordsNetwork analyzer (electrical)Direct-conversion receiverSpectrum analyzerPort (circuit theory)MicrowaveElectronic engineeringEngineeringElectronic circuitScalar (mathematics)Scattering parametersMicrowave engineeringHomodyne detectionElectrical engineeringTelecommunicationsMathematics

Abstract

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A homodyne multiport network analyzer is proposed for the characterization of N-port microwave devices, circuits, and systems. The single six-port junction used as a wave correlator is operated as a two-channel wave receiver. The use of an additional test set, which comprises two switching matrices and N bidirectional couplers, allows the measurements of complete S-parameter matrices of N-port devices. By comparison to existing network analyzers, the proposed system is homodyne in the sense that it does not require any frequency down-conversion to determine the phase information, and uses only one single six-port junction to obtain complex S-parameter measurements from only scalar measurements. A detailed description of the proposed system is presented. Two- and three-port structures are measured, and the results are compared to the data obtained by a two-port commercial network analyzer. © 2000 John Wiley & Sons, Inc. Microwave Opt Technol Lett 24: 63–67, 2000.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.018
GPT teacher head0.211
Teacher spread0.193 · 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

Citations3
Published2000
Admission routes1
Has abstractyes

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