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Record W4415123908 · doi:10.1109/tap.2025.3618765

A Single-Layer Wideband Ku-Band Reflectarray for Satellite Applications

2025· article· en· W4415123908 on OpenAlexafffund
Jeffrey Majnaric, Hossein Saghlatoon, Yash Pachchigar, Jeff Nicholls, Sean V. Hum

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2025
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of TorontoCommunications Research Centre Canada
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTelecommunications linkBandwidth (computing)WidebandCommunications satelliteLinearitySatellitePhase (matter)Frequency band

Abstract

fetched live from OpenAlex

This paper presents a wideband, circularly polarized, single-layer reflectarray design, with a bandwidth sufficient to cover both a downlink band from 10.7 - 12.75 GHz and an uplink band from 13.75 - 14.5 GHz. The unit cell is based on a double circular loop that also features an air gap for enhanced bandwidth. The unit cell design is optimized with a group delay-based approach, which is done by optimizing the unit cell geometry and analyzing the impact of the air gap on the linearity of the phase curves. This unit cell design has a phase range of about 500°, thereby minimizing the number of phase wraps required in the reflectarray layout. A circular prototype with a diameter of 11.7λ at 11.725 GHz is fabricated to validate its performance, exhibiting a 1 dB bandwidth of 34% and peak gain of 28 dBi with a clear agreement with simulated results. The reflectarray is intended to be used in satellite applications whereby the downlink and uplink bands are contained within the operating bandwidth of the proposed design.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.247
Teacher spread0.227 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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