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Record W3134073954 · doi:10.1109/iws49314.2020.9360166

Compact Wideband Coupled-Waveguide Balun for Millimeter-Wave Applications

2020· article· en· W3134073954 on OpenAlexaff
Desong Wang, Ke Wu

Bibliographic record

Venue2020 IEEE MTT-S International Wireless Symposium (IWS) · 2020
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversité de MontréalPolytechnique Montréal
Fundersnot available
KeywordsBalunWidebandCenter frequencyBandwidth (computing)AmplitudeExtremely high frequencyPhysicsMonolithic microwave integrated circuitReturn lossW bandInsertion lossElectrical engineeringElectronic engineeringOptoelectronicsComputer scienceAmplifierOpticsEngineeringTelecommunicationsAntenna (radio)Band-pass filter

Abstract

fetched live from OpenAlex

This paper presents a compact wideband balun for millimeter-wave (mmW) applications, which is constructed from tightly coupled half-mode substrate-integrated waveguides (HMSIWs). This balun takes full advantage of the frequency-independent out-of-phase property of the odd TE <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5,0</sub> mode of the coupled-HMSIW system. As a result, a phase difference of 180° and balanced amplitudes between two balun outputs are obtained inherently over a wide frequency range. Thanks to the similarity of partial transverse fields, this odd mode can be excited by a conventional slotline in a straightforward manner. This design concept is verified by both simulation and measurement. Measurement shows that this balun has a fractional bandwidth of 97%, from 17 to 49 GHz, with a return loss of 10 dB at its unbalanced port; the in-band amplitude and phase imbalances between two balanced ports are within ±0.6 dB and ±5° (±10° at around 48 GHz), respectively. In addition, the core-circuit size of the proposed balun is about 0.2 λg x 0.57λg, where λg is the guided wavelength at the center frequency of 33 GHz.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.925
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 science0.0010.000
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 head0.019
GPT teacher head0.231
Teacher spread0.213 · 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 designSimulation or modeling
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
Published2020
Admission routes1
Has abstractyes

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