MétaCan
Menu
Back to cohort
Record W2067136277 · doi:10.1109/ieee-iws.2013.6616842

Millimeter-wave phased array antenna for high throughput two-dimensional scan cognitive radio

2013· article· en· W2067136277 on OpenAlexaff
Ajay Babu Guntupalli, Ke Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsUniversité de MontréalPolytechnique Montréal
Fundersnot available
KeywordsPhased arrayPolarization (electrochemistry)PhysicsOpticsExtremely high frequencyAntenna arrayPhase shift moduleCircular polarizationDipole antennaAntenna (radio)Computer scienceTelecommunications

Abstract

fetched live from OpenAlex

This research presents two novel techniques for obtaining the pattern and polarization agilities simultaneously. 35 GHz dual linearly polarized (DLP) antenna array is designed and the gain for each polarization is measured to be 18 dBi with a cross-polarization level of 20 dB between the two polarization states. 60 GHz Dual circularly polarized (DCP) antenna array is designed and the gain for each CP state is obtained as 13 dBc with a cross polarization level of 15 dB. Analog phase shifter based on the Butler matrix is used to drive each state of polarization. The designed DLP and DCP phased array systems are able to form beams in two dimensional (2-D) scan space. These millimeter-wave phased array systems with polarization agility will satisfy today's cognitive radio front-end requirements.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.030
GPT teacher head0.240
Teacher spread0.210 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicMillimeter-Wave Propagation and ModelingFrench-language works237,207