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Record W2510443525 · doi:10.1109/antem.2016.7550206

Multi-feed beam scanning circularly polarized Ka-Band reflectarray

2016· article· en· W2510443525 on OpenAlexaff
Muhammad M. Tahseen, Ahmed A. Kishk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsOpticsBandwidth (computing)Aperture (computer memory)Feed hornMaterials scienceAxial ratioKu bandBeam (structure)Circular polarizationPhysicsRadiation patternPeriscope antennaMicrostripElectrical engineeringEngineeringTelecommunicationsAntenna (radio)Acoustics

Abstract

fetched live from OpenAlex

A multi-feed beam scanning circularly polarized (CP) reflectarray (RA) in the Ka-Band, has been presented in this paper. An A/4 unit cell with cross-bowtie element, have been used for the reflectarray design. The RA has an electrical size of 6.25A. A conical circular polarized feed horn is used to excite the RA. The multi-feed single reflector technique, has been used for beam scanning at certain angles. The focal distance in the feed phase center plane, is optimized to get good scanning performance from RA. This multi-feed mechanism can also be later used for different transmit and receiving band antennas, sharing the same reflectarray aperture. The proposed CP RA provides, 1-dB gain bandwidth of 32.8 %, 1.5 dB axial ratio bandwidth of 31 %, ±15° beam scanning off from broadside and the highest aperture efficiency of 47 %.

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 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 score0.737
Threshold uncertainty score0.464

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 head0.022
GPT teacher head0.247
Teacher spread0.225 · 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.

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
Published2016
Admission routes1
Has abstractyes

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