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A physical interpretation of effective dielectric properties of slow-wave transmission lines in small antenna applications

2013· article· en· W2163409703 on OpenAlexaff
Ali M. Mehrabani, L. Shafai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsElectrical lengthMiniaturizationAntenna (radio)Loop antennaElectrical engineeringRandom wire antennaAntenna measurementMaterials scienceAntenna efficiencySlot antennaElectronic engineeringRadiation patternAcousticsEngineeringAntenna factorPhysics

Abstract

fetched live from OpenAlex

Summary form only given. With the rapid growth in advancements in modern communication technology, the demand for small and miniaturized antennas has increased during the last decades. Such antennas have found special attention as they reduce the cost, volume, feed blockage, and mutual interferences. The main requirement in the antenna miniaturization is to increase the electrical path length and thus slow the phase velocity [J. L. Volakis, et al, “Small Antennas: Miniaturization Techniques and Applications”. New York: McGraw-Hill, 2010]. This will, in turn, shift down the lower operating frequency and reduces the antenna size at the designed operating frequency. There are several ways to impose the phase delay such as material loading, inserting lumped elements, and shaping the antenna structure itself. The latter technique effectively enlarges the electrical length without increasing the antenna size. Examples are meandering, zigzagging, slot loading, and bending. All of them lead to increase the effective electrical length of the antenna and subsequently lower the operating frequency. A few miniaturized antennas have been recently reported in the literature using antenna shaping method. However, to the best of our knowledge, study of the dielectric properties of such transmission lines is missed in miniaturized antenna applications. In this paper, first, several meandered transmission lines are reviewed, which can be used for the antenna miniaturization. Examples with a square-pulse shape, zigzag, and rectangular-pulse shape on a pedestal are investigated. These shapes basically enlarge the effective electrical length, which results in slowing the phase velocity and thus lowering the operating frequency. Therefore, the size of the antenna is miniaturized. Then, the aforementioned transmission lines, suspended in the air, are treated as an equivalent dielectric medium in the form of a two-port network. Consequently, the effective dielectric constants of the lines are extracted from the scattering parameters of the network. It is shown that such undulated lines, even with a supporting material such as air, behave like dielectric materials with effective dielectric constants of considerably much larger than that of air. The so-called effective dielectric constants of the lines are useful in understating their physical interpretation in the area of antenna miniaturization. The corresponding results of the undulated transmission lines and their applications in compact antennas will be discussed and presented in the conference.

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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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.194
Teacher spread0.185 · 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 designSimulation or modeling
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".

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Citations1
Published2013
Admission routes1
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