MétaCan
Menu
Back to cohort

A Low-cost Light-weight 3D-printed Choke Ring for Multipath Mitigation for GNSS Antennas

2019· article· en· W2982343425 on OpenAlexaff
Mohamed K. Emara, Khaled Madhoun, Rawan Madhoun, Shulabh Gupta

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsChokeGNSS applicationsMaterials scienceGround planeAntenna (radio)OptoelectronicsElectrical engineeringComputer scienceEngineeringTelecommunicationsGlobal Positioning System

Abstract

fetched live from OpenAlex

A low-cost light-weight 3D-printed copper coated choke ring is presented and experimentally demonstrated to have similar performance to a fully metallic choke ring. The conventional metallic choke ring is the standard ground plane used in global navigation satellite systems (GNSS) reference antennas to reject multipath signals. While the choke ring greatly enhances the performance of the antenna, it has the disadvantage of being heavy, bulky, and expensive. One method to reduce the weight and cost of the choke ring, while maintaining the same performance as the metallic structure, is to build the structure using a low-cost, light-weight dielectric material and coating the outside with an electric conductor. In this paper, a prototype of a novel 3D-printed choke ring made from polylactic acid (PLA) plastic and coated with copper tape is fabricated and tested. The novel choke ring is demonstrated to have the same performance as an otherwise heavy and expensive metallic choke ring.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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

Citations9
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Antenna and Metasurface TechnologiesFrench-language works237,207