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Record W2128507623 · doi:10.1109/lawp.2010.2095453

A Multiband Monopole Antenna With an Embedded Reactance-Cancelling Transmission-Line Matching Network

2010· article· en· W2128507623 on OpenAlexaff
Marco A. Antoniades, George V. Eleftheriades

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2010
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Toronto
FundersIntel Corporation
KeywordsReactanceMatching (statistics)Topology (electrical circuits)Antenna (radio)Computer sciencePhysicsElectrical engineeringAlgorithmTelecommunicationsEngineeringMathematicsVoltage

Abstract

fetched live from OpenAlex

A series reactance-canceling (SERCA) transmission-line (TL) matching network is proposed, which replaces the series resonant circuit of a double-tuned Wheeler matching network with a λg/2TL in order to achieve a broadband double-tuned matching response around the design frequency f0while also introducing additional matching bands at harmonic frequencies of f0. The reactance cancellation property of the λg/2TL is first outlined, followed by simple equations for the design of multiband SERCA-TL matching networks. A SERCA-TL matching network is subsequently embedded within a printed circular monopole antenna, and it is demonstrated that the lowest frequency of operation can be reduced from 4.43 GHz for the unmatched monopole to 2.1 GHz. Thus, a compact, multiband, and highly efficient antenna is achieved that operates in the frequency ranges of 2.1-4.31 and 6.35-6.78 GHz. The total size of the antenna is 20 × 50.3 × 1.59 mm3, and the measured efficiency is on the order of 80%-90% within the bands of operation.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0020.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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
GenreMethods

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

Citations9
Published2010
Admission routes1
Has abstractyes

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