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Record W7133030901

Low-profile Radial Leaky-wave Apertures for Satellite Applications

2020· dissertation· W7133030901 on OpenAlexfundno aff
Gursimran Singh Sethi

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsBandwidth (computing)Communications satelliteWavelengthHigh-gain antennaLow earth orbitAntenna gainSatelliteBeam (structure)
DOInot available

Abstract

fetched live from OpenAlex

Reliable and robust communication with fast-moving satellites in the low-earth orbit requires high gain antennas that are able to electronically steer and direct power to moving targets. In this work, a low-profile leaky-wave solution is proposed that combines the full-space beam-scanning capabilities of transmitarrays and the low-complexity feeding properties of radial leaky-wave antennas that can be used for ground base-station applications. A 2564-element low-profile array (of height 0.5 wavelengths at 19.5 GHz) with a true-time delay phase-shifting mechanism has been designed and simulated which generates a sharp pencil beam of gain, 25 dBi, and is steerable to any arbitrary angle. In addition to the reduction in profile and weight, the demonstration shows minimal beam-squint effects with a 1dB gain bandwidth of 2% and a 3 dB gain bandwidth of 3-5% operating at the K-band, a characteristic not easily attained in large reconfigurable apertures.

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 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 score0.643
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.028
GPT teacher head0.304
Teacher spread0.276 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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