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Record W2096564546 · doi:10.1109/aps.1989.134784

The sidelobe performance of a phased array antenna with fine incremental scan steps

2003· article· en· W2096564546 on OpenAlex
A. Sebak, L. Shafai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsPhased arrayAntenna (radio)Position (finance)Beam (structure)Aperture (computer memory)OpticsPhase (matter)Computer scienceRadiation patternPhased-array opticsEnhanced Data Rates for GSM EvolutionPhysicsRadiationAcousticsArtificial intelligenceTelecommunications

Abstract

fetched live from OpenAlex

The authors investigate the possibility of changing the phase of central elements of a phased-array antenna to granulate the main beam positions at each course step. The effect of such changes in the phases of both central and edge elements on the radiation pattern characteristics is also investigated. A phased-array antenna with an average beam step size requirement of 0.02 degrees is considered for the purposes of illustration. It is shown that for a given delta , the main beam position depends on the number of elements and the aperture distribution. Furthermore, there is more than one combination, that is, number of elements an inherent phase shift, to yield almost the same position for the main beam. Thus, to determine which combination should be used to produce a particular beam position, the effect of each combination on the radiation pattern characteristics, that is, the sidelobe levels, is studied.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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.

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: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.184

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 head0.006
GPT teacher head0.175
Teacher spread0.169 · 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

Quick stats

Citations2
Published2003
Admission routes1
Has abstractyes

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