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Record W1982804661 · doi:10.1109/lawp.2013.2264431

A Two-Port Chassis-Mode MIMO Antenna

2013· article· en· W1982804661 on OpenAlexaff
Krishna Kumar Kishor, Sean V. Hum

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2013
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMIMOAntenna (radio)ChassisAntenna efficiencyEnvelope (radar)Electronic engineeringRadiation patternAntenna arrayPhysicsComputer scienceTopology (electrical circuits)Electrical engineeringTelecommunicationsEngineeringBeamforming

Abstract

fetched live from OpenAlex

The design of multiple-input-multiple-output (MIMO) antennas based on characteristic modes has attracted considerable attention recently. This letter presents a novel MIMO antenna that excites the same two eigenmodes from each of its two ports, but with a 180°phase difference between the modal excitation coefficients of one of the dominant modes. This provides the antenna with two orthogonal radiation patterns that can be independently excited from each of the two ports of the antenna, without a complex power dividing network that is typical of other designs based on characteristic modes. A fabricated prototype gives 21.2 dB of isolation between the ports. Good agreement is observed between the measured and simulated radiation patterns, and the envelope correlation coefficient between the patterns was measured to be 0.0638.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.009
GPT teacher head0.211
Teacher spread0.202 · 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

Citations62
Published2013
Admission routes1
Has abstractyes

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