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Record W4385656575 · doi:10.1109/tmtt.2023.3298214

On the Design of Broadband Asymmetric Y-Junction Ferrite Circulator for 60-GHz Inter-Satellite Communication

2023· article· en· W4385656575 on OpenAlexafffund
Mohamed Mamdouh M. Ali, Mahmoud Elsaadany, Shoukry I. Shams, Ke Wu

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2023
Typearticle
Languageen
FieldEngineering
TopicFull-Duplex Wireless Communications
Canadian institutionsConcordia UniversityPolytechnique Montréal
FundersFonds de recherche du Québec – Nature et technologies
KeywordsCirculatorFerrite (magnet)BroadbandCommunications satelliteElectrical engineeringOptoelectronicsSatelliteMaterials scienceElectronic engineeringTelecommunicationsPhysicsComputer scienceEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

Millimeter-wave (mmW) Y-junction ferrite circulators above 40 GHz have limited bandwidth due to the lack of ferrite materials having a high saturation magnetization above 5000 G and the simple and traditional circuit design approaches that cannot produce wideband circulators in this frequency range. To increase the bandwidth of mmW Y-junction ferrite circulators, novel design techniques for such circulators should be developed to achieve a functional circulator over a wide bandwidth at mmW frequencies. In this article, a Y-junction ferrite circulator is proposed, which is based on the WR15 waveguide standard with broadband performance for 60-GHz inter-satellite communications. An approximate design procedure for the core section of the proposed circulator is presented. The proposed Y-junction ferrite circulator achieves more than 20% bandwidth centered at 60 GHz. In addition, the effect of input power and ambient temperature on the performance of the circulator is studied for an input power of 300 W and ambient temperature in the range from −80°C to 80°C. The experimental prototype is fabricated and measured, where the measured response is in very good agreement with the numerically anticipated counterpart. The fabricated circulator achieves beyond −17 dB matching level with −15 dB isolation and 1-dB insertion loss over the entire bandwidth of interest.

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 communication0.0000.001
Open science0.0010.000
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 head0.248
Teacher spread0.222 · 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

Citations20
Published2023
Admission routes2
Has abstractyes

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