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Record W2990034909 · doi:10.1109/tap.2019.2955254

Peripherally Excited Phased Array Architecture for Beam Steering with Reduced Number of Active Elements

2019· article· en· W2990034909 on OpenAlexafffund
Ayman H. Dorrah, George V. Eleftheriades

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2019
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhased arrayDirectivityBeam steeringPhased-array opticsOpticsPhysicsPencil (optics)Excited stateAntenna (radio)Beam (structure)AcousticsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

An electronically scannable phased array antenna architecture is proposed with a drastically reduced number of active antenna elements. The proposed approach is based on the concept of Huygens' metasurfaces, where the fields in a given region are controlled by active or passive electromagnetic sources on the boundary surface of this region. Using this approach, arbitrary plane waves are excited inside a metallic cavity by peripheral sources, and the cavity is engineered to radiate a single or multiple pencil beams through appropriately perforated slots on its top surface. The proposed peripherally excited (PEX) phased array architecture generates pencil beams that are electronically scanned by controlling the amplitudes and phases of the peripheral sources. The proposed concept has the potential to drastically reduce the required number of active elements in 2-D phased arrays without compromising directivity. However, the possible beam-pointing directions are constrained.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.644
Threshold uncertainty score0.492

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 studies0.0000.000
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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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

Citations21
Published2019
Admission routes2
Has abstractyes

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