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Record W2374045324

Orbit Object ISAR Echo Signal Simulation

2006· article· en· W2374045324 on OpenAlex
Chao Liu, Atr Key

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

VenueJisuanji fangzhen · 2006
Typearticle
Languageen
FieldEngineering
TopicSpace Satellite Systems and Control
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsEcho (communications protocol)RadarOrbit (dynamics)SIGNAL (programming language)Computer scienceInverse synthetic aperture radarComputer visionObject (grammar)Radar imagingAcousticsArtificial intelligencePhysicsEngineeringTelecommunicationsAerospace engineering
DOInot available

Abstract

fetched live from OpenAlex

The aim of this article is to study a method to simulate the ISAR radar echo of space objects, thus providing signal and data for the development of Space Target Detection Radar and the research of the characteristics of space targets. Firstly, the space object' s moving characteristics are researched, and a way to calculate the orbit of ballistic object is given, by which the target' s gesture can be fixed at any time, and the scatters' distribution of the target can be got. Then, the radar echo characteristics are researched under the irradiation of long - pulse - wide - band radar signal. With the distribution information of scatters provided by the orbit computation, the IF echo is simulated. At last, a method to realize the ISAR echo signal simulator based on orbit object is proposed, and the experimentation result is presented. Proved in the application, it's feasible to simulate the wide - band radar echo of space targets by this means.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.651

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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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