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Multifunction Over-the-Horizon Radar for Space Domain Awareness

2024· article· en· W4395684421 on OpenAlexaff
Simon Henault, Kyra Czarnowske, Yahia M. M. Antar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced SAR Imaging Techniques
Canadian institutionsRoyal Military College of CanadaDefence Research and Development Canada
Fundersnot available
KeywordsRadarOver-the-horizon radarComputer scienceHorizonSpace (punctuation)Space-based radarDomain (mathematical analysis)Remote sensingMan-portable radarRadar engineering detailsRadar imagingTelecommunicationsGeologyMathematicsGeometry

Abstract

fetched live from OpenAlex

The possibility of using existing planar monopole arrays of an over-the-horizon radar (OTHR) for space domain awareness (SDA) is evaluated experimentally. The International Space Station was successfully tracked by the radar over the majority of an 11-minute pass, by exploiting the full azimuth and elevation steerability of the antenna arrays. As predicted using numerical models of the arrays, signal-to-noise ratios that can exceed 40 dB were measured. Range and Doppler measurements are compared with NASA-provided truth data to identify ionospheric effects. SDA is determined to be a potential multifunction addition to existing OTHR systems for coarse orbital element measurements, but requires better ionospheric correction techniques to achieve the fine accuracies typically obtained with SDA radars operating at higher frequencies.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.606
Threshold uncertainty score0.332

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 head0.010
GPT teacher head0.270
Teacher spread0.260 · 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 designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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