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Peripherally Excited Phased Arrays with Practical Active Huygens’ Sources and Slot Elements

2020· article· en· W3041790615 on OpenAlexaff
Ayman H. Dorrah, George V. Eleftheriades

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhased arrayComputer scienceExcited statePhysicsElectronic engineeringEngineeringTelecommunicationsAntenna (radio)Atomic physics

Abstract

fetched live from OpenAlex

Antenna phased arrays have become increasingly important in recent years with the advent of technologies such as 5G communications, automotive radars, and satellite internet. These phased arrays are costly to design, fabricate and deploy. A main component of the cost of traditional phased arrays is that of the necessary feeding network and phase shifters or transceivers. A recently developed concept called the peripherally-excited (PEX) phased array has been proposed which is capable of generating electronically scanned pencil beams with a reduced number of phase shifters. The concept of the PEX phased array relies on peripheral active Huygens’ sources that are used solely along the periphery of the cavity. This paper proposes a practical Huygens’ source implementation which is compatible with printed-circuit-board technology, and exhibits acceptable reflections and mutual coupling between adjacent sources. Furthermore, a specially-engineered slot arrangement is proposed which can achieve effective radiation at broadside and tilted angles.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.220
Teacher spread0.201 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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