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Record W4404238350 · doi:10.1109/ojap.2024.3496296

Additively-Manufactured, Magnetically Controlled, Frequency and Polarization Reconfigurable Phased Array Antenna

2024· article· en· W4404238350 on OpenAlexaff
Ulan Myrzakhan, Farhan A. Ghaffar, Mohammad Vaseem, Atif Shamim

Bibliographic record

VenueIEEE Open Journal of Antennas and Propagation · 2024
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsLakehead University
FundersKing Abdullah University of Science and Technology
KeywordsPhased arrayReconfigurable antennaPolarization (electrochemistry)Phased-array opticsAntenna arrayAntenna (radio)Microstrip antennaPhysicsMaterials scienceElectronic engineeringElectrical engineeringEngineeringCoaxial antennaChemistry

Abstract

fetched live from OpenAlex

An additively manufactured phased array antenna is presented in this work that provides simultaneous reconfiguration in frequency, polarization, and beam direction solely in response to magnetic tuning of the underlying ferrite substrate. This design obviates the need for integrated active components, which have been fundamental elements enabling tuning operation in traditional reconfigurable array antennas. The array element of the proposed array antenna consists of a waveguide-based phase shifter, realized by printing metallic walls on a ferrite substrate, which is then monolithically integrated with a printed circular patch antenna. Depending on the magnitude and polarity of the applied magnetic field (solenoids) to the patches, the array antenna can operate in a linearly polarized (LP) mode at 7.2 GHz or in dual circularly polarized (CP) modes in two continuously tunable frequency bands, 5.9–6.5 GHz and 7.6–7.95 GHz. Simultaneously, when magnetic field is applied to the phase shifters, continuous beam steering within ±25° of the boresight can be realized (±35° when fully saturating the ferrite at the phase shifters). To the best of the authors’ knowledge, this is the first implementation of an additively manufactured and fully magnetically controlled array antenna of this versatility.

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)0.001
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 score0.866
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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