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Record W4229378304 · doi:10.1002/mop.33302

Lower profile high‐power dual‐polarized wide‐beam tracking antenna at S‐band

2022· article· en· W4229378304 on OpenAlexaff
Satyajit Chakrabarti, Gautam Sadhukhan, A. K. Chakraborty, Jawad Y. Siddiqui

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2022
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsBeamwidthOpticsWidebandMonopulse radarDipole antennaPhysicsBandwidth (computing)Antenna measurementCoaxial antennaAntenna gainAntenna (radio)EngineeringElectrical engineeringTelecommunicationsRadarRadar imaging

Abstract

fetched live from OpenAlex

Abstract An S‐band dual linearly polarized monopulse tracking antenna has been developed with a cavity‐backed cross‐dipole antenna as the element. Wide‐beam and wideband tracking have been successfully demonstrated. Systematic design approaches have been presented. The cavity arrangement enhances the beamwidth of a horizontal dipole significantly retaining its wideband characteristics. The element exhibits a 3 dB beamwidth ≥145°. Such a wide beamwidth made the cavity‐backed cross dipole an attractive choice as the element for the tracking antenna. The monopulse antenna demonstrates an impedance bandwidth ≥20.7% with isolation superior to 24 dB. Dual polarized tracking has been effectively verified over ≥15% bandwidth with a broad‐side gain of 11.2 dBi. The angular field‐of‐view (FOV) for the tracking is ≥60°. Higher tracking bandwidth and wider FOV of the array, lower profile, and high‐power handling capability are the superiority of the developed antenna.

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: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.990

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 integrity0.0000.001
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 head0.184
Teacher spread0.178 · 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

Citations8
Published2022
Admission routes1
Has abstractyes

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