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Record W4414484425 · doi:10.1017/s1759078725102249

Miniature antenna for GNSS satellite constellation reception

2025· article· en· W4414484425 on OpenAlexfundno aff
Karim Kouny, Valentin Lourenço Martins, Hassan Bouazzaoui, Noham Martin, Fabien Ferrero, Guillaume Ferré, Anthony Ghiotto

Bibliographic record

VenueInternational Journal of Microwave and Wireless Technologies · 2025
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsnot available
FundersFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsGNSS applicationsConstellationAntenna (radio)Satellite systemSatellite navigationSatelliteMicrowaveRadiation pattern

Abstract

fetched live from OpenAlex

Abstract This paper presents the design, simulation, and real-world validation of a compact, dual-band, right-hand circularly polarized antenna for Global Navigation Satellite System (GNSS) applications. The antenna operates in the L1 (1575 MHz) and L5 (1176 MHz) bands, utilizing a stacked patch structure on low-cost FR4 substrates to achieve compactness and circular polarization. The design ensures axial ratio values below 3 dB, with peak gains of 2.59 dBi (L1) and -0.89 dBi (L5), while maintaining wide radiation coverage. Unlike many recent proposals based on Rogers substrates or complex geometries, our design focuses on cost-effectiveness and manufacturing simplicity. The prototype was validated using a Quectel LC29HAAMD GNSS receiver during the 2024 French National Microwaves Days (JNM), successfully acquiring over 40 satellites within 60 seconds in a real-world suburban environment. These results demonstrate the antenna’s suitability for space-constrained and low-cost GNSS platforms in the “New Space” era.

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 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 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 score0.556
Threshold uncertainty score0.319

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)0.0000.000

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 head0.238
Teacher spread0.230 · 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 teacher head, 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

Citations1
Published2025
Admission routes1
Has abstractyes

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