MétaCan
Menu
Back to cohort
Record W2101439155

LTCC-based ultra-wideband Linearly Tapered Slot Antenna design guidelines

2009· article· en· W2101439155 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Radar Conference · 2009
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsWidebandVivaldi antennaBandwidth (computing)HFSSAntipodal pointElectronic engineeringMicrostrip antennaReturn lossMicrostripSlot antennaAntenna (radio)Materials scienceAntenna measurementComputer scienceElectrical engineeringEngineeringTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

In this paper, the design of antipodal non-planar Linearly Tapered Slot Antenna (LTSA) designed in LTCC technology with wide bandwidth operation for ultra-wideband applications and a practical design guideline of LTCC-based ultra wideband LTSA is presented. The LTCC-based ultra wideband LTSA characteristics are investigated and then compared to a compact antipodal LTCC-based Vivaldi design. Using microstrip feeding technique, the antenna return loss S11 stays below −10dB from 9GHz to 10.5GHz. From simulation results, the LTCC-based ultra wideband LTSA design, optimized using HFSS, it is found that the LTCC-based LTSA antenna has a broad bandwidth of about 1.5Ghz which satisfies the ultra-wideband bandwidth requirement. The LTCC-based ultra wideband LTSA has an efficient end fire radiation pattern of more than 5dB peak gain and a total chip area of 50×25mm2. Therefore this antenna can be used for a variety of ultra-wide band applications.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score1.000

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.056
GPT teacher head0.243
Teacher spread0.187 · 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