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Record W4398266715 · doi:10.1080/09205071.2024.2354763

Wideband shared-aperture orthogonal mode antenna pair for MIMO application

2024· article· en· W4398266715 on OpenAlexaff
Bingyi Qian, Min Liu, Yiran Da, Yingsong Li, Azremi Abdullah Al‐Hadi, Ahmed A. Kishk, Xiaoming Chen

Bibliographic record

VenueJournal of Electromagnetic Waves and Applications · 2024
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsConcordia University
FundersNational Key Research and Development Program of China
KeywordsWidebandMIMOMode (computer interface)Antenna (radio)TelecommunicationsComputer scienceAperture (computer memory)Antenna arrayAcousticsOpticsPhysicsBeamforming

Abstract

fetched live from OpenAlex

A wideband shared-aperture antenna is designed for MIMO application based on asymmetric orthogonal-mode antenna pair. A symmetric T-shaped antenna and an asymmetric double-L-shaped antenna constitute the proposed antenna pair. Two co-planar antenna elements are configured above the ground (on the same substrate side). The wideband self-decoupling characteristic of the antenna pair is achieved via orthogonal modes. The proposed shared-aperture antenna demonstrates good impedance matching, high isolation, and good diversity performance over a bandwidth of 3.04–5.28 GHz, covering the 5G N77/N78/N79 bands, which is suitable for compact 5G MIMO terminals. Two such antenna pairs are arranged along the upper side of the ground to construct a 4-port MIMO antenna. The proposed MIMO antenna is fabricated and tested to verify its performance. Favorable results are realized, including impedance matching, isolation, efficiency, and ECC. The measured results are in good agreement with the simulated results.

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: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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