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Record W2125673882 · doi:10.1109/aps.2009.5171656

Compact substrate integrated waveguide Wilkinson power dividers

2009· article· en· W2125673882 on OpenAlexaff
Nathan A. Smith, Ramesh Abhari

Bibliographic record

VenueDigest - IEEE Antennas and Propagation Society. International Symposium · 2009
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsMcGill University
Fundersnot available
KeywordsMicrostripPower dividers and directional couplersReturn lossWilkinson power dividerBandwidth (computing)PassbandShielded cableElectric power transmissionInsertion lossWaveguideElectrical engineeringElectronic engineeringOptoelectronicsEngineeringMaterials scienceTelecommunicationsBand-pass filterFrequency dividerAntenna (radio)

Abstract

fetched live from OpenAlex

Two half-mode SIW Wilkinson power dividers are investigated in this paper. The presented compact half-mode SIW power dividers benefit from the excellent shielded transmission characteristics of the SIW in the power splitting branch, unlike the previously published HMSIW Wilkinson power divider. Two structures with waveguide and microstrip line feeds were simulated. The simulations of the half-mode power divider with microstrip launchers demonstrate similar results to those achieved with the all- waveguide half-mode SIW structure. A prototype was fabricated to investigate the half- mode power divider with microstrip feed lines. Measurement results demonstrate improved isolation characteristics in comparison with the previously published literature on all SIW "Y" branch power dividers. A passband of 4.2GHz, or 40% bandwidth centered at 10.5GHz, was measured. The measured input return loss was less than lOdB, and the measured isolation was greater than lOdB over the entire operating bandwidth. The maximum isolation was found to be over 40dB at 12.4GHz.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
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 science0.0000.000
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 head0.009
GPT teacher head0.220
Teacher spread0.211 · 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 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

Citations28
Published2009
Admission routes1
Has abstractyes

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