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Record W2168357778 · doi:10.1049/ip-rsn:20010716

Analysis of distortion in the high range resolution profile from a perturbed target

2001· article· en· W2168357778 on OpenAlex

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

VenueIEE Proceedings - Radar Sonar and Navigation · 2001
Typearticle
Languageen
FieldEngineering
TopicAdvanced SAR Imaging Techniques
Canadian institutionsDepartment of National Defence
Fundersnot available
KeywordsDistortion (music)PhysicsOpticsRadarRange (aeronautics)Doppler effectResolution (logic)Inverse synthetic aperture radarPhase (matter)Echo (communications protocol)Radar imagingComputational physicsComputer scienceMaterials scienceArtificial intelligenceTelecommunications

Abstract

fetched live from OpenAlex

Experimental results have demonstrated that even when a target possesses very small perturbed rotational motion, its high range resolution (HRR) radar image profile can be severely distorted. A numerical model has been developed and is able to accurately simulate the observed distorting effects. The well known range–Doppler coupling effect offers a partial explanation for the distortion of a target's HRR profile when the perturbing rotational motion is constant in time during radar interrogation. A more interesting and much more dramatic situation arises when the perturbing motion is time-varying; severe distortion in the target's HRR profile can occur due to the excitation of higher-order sidebands in the phase of the target echo.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.225
Teacher spread0.217 · 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