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Record W4400112014 · doi:10.23919/emsci.2023.0021

Frequency-Diversified Space-Efficient Radiating Surface Using Convolved Electric and Magnetic Currents for Highly Dense Multiband Antenna-Frontend Integration

2024· article· en· W4400112014 on OpenAlexafffund
Amirhossein Askarian, Pascal Burasa, Ke Wu

Bibliographic record

VenueElectromagnetic Science · 2024
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsPolytechnique Montréal
FundersNational Research Council Canada
KeywordsWidebandMulti-band deviceAntenna (radio)PhysicsComputer scienceTopology (electrical circuits)Dipole antennaRadio spectrumAcousticsElectronic engineeringElectrical engineeringOpticsTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

We propose and investigate a methodology based on convolved electric and magnetic currents for the generation of multi-band responses over a space-shared radiating surface. First, a single wideband antenna operation principle based on interleaved dipole and slot modes is studied and analyzed using full-wave simulations followed by a qualitative time domain analysis. Subsequently, a$2\times 2$dual-band radiating unit is conceived and developed by closely arranging single wideband antennas. In this case, multimode resonances are generated in a lower frequency band by a proper convolving and coupling of the magnetic and electric currents realized in the gaps between the antennas and on the surface of the antennas, respectively. This methodology can be deployed repeatedly to build up a self-scalable topology by reusing the electromagnetically (EM) connected radiating surfaces and gaps between the radiating units. Due to the efficient reuse of the electromagnetic region for the development of multiband radiation, a high aperture-reuse efficiency is achieved. Finally, as a proof of concept, a$2\times 4$dual-band array operating in Ku- and Ka-bands is developed and fabricated by a linear arrangement of the two developed radiating units. Our measurement results show that the proposed antenna array provides impedance and gain bandwidths of 30% and 25.4% in the Ku-band and 10.65% and 8.52% in the Ka-band, respectively.

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)0.001
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.015
GPT teacher head0.235
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

Citations3
Published2024
Admission routes2
Has abstractyes

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