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Record W4312385908 · doi:10.1109/lawp.2022.3224436

A Single-Layer Compact Wideband Circularly Polarized Patch Array for 5G Communications

2022· article· en· W4312385908 on OpenAlexaff
Peyman PourMohammadi, Peng Fei, Hassan Nasseri, Qi Zheng, Oluwatosin J. Babarinde, Vladimir Volski, Guy A. E. Vandenbosch, Tayeb A. Denidni

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2022
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsWidebandBandwidth (computing)Antenna arrayCenter frequencyMicrostrip antennaRadiation patternOpticsAxial ratioCircular polarizationAntenna measurementAntenna (radio)Turnstile antennaAntenna efficiencyPhysicsAcousticsComputer scienceTelecommunicationsMicrostripBand-pass filter

Abstract

fetched live from OpenAlex

This letter presents a single-layer antenna array with wideband circular polarization. The array is formed by 2 × 2 element antennas, each element including two radiators mutually coupled to each other and fed by a sequential feeding network. The antenna array is designed, fabricated, and measured with overall size of 1.49λ × 1.49λ at the center frequency of 28 GHz. The proposed antenna achieves the desired radiation patterns and provides excellent characteristics, including a wide bandwidth (BW) and compact structure. The results show a large BW of 31.32% and a wide axial ratio of 20.2%, which is the largest found in the literature for similarly sized arrays on a single layer. Besides, the peak gain of 13.8 dBi is achieved over the operating frequency range. These merits confirm the proposed antenna design as a suitable choice for 5G communications.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score0.754

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 studies0.0010.000
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 head0.029
GPT teacher head0.232
Teacher spread0.203 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

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