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Record W2169565601 · doi:10.1109/radar.1995.522517

Aircraft detection and tracking with high frequency radar

2002· article· en· W2169565601 on OpenAlexafffundabout
R.H. Khan, Desmond Power

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadar Systems and Signal Processing
Canadian institutionsMemorial University of Newfoundland
FundersMinistère de la Défense Nationale
KeywordsOver-the-horizon radarRadarRadar trackerComputer scienceContinuous-wave radarRadar lock-onFire-control radarMan-portable radarRadar engineering detailsTracking (education)Remote sensingRadar horizonRadar imagingGeologyTelecommunications

Abstract

fetched live from OpenAlex

Northern Radar Systems Limited has built a high frequency ground wave radar at Cape Race, Newfoundland, for over-the-horizon (OTH) detection of targets. Operational experience with the radar has demonstrated that this technology has significant potential for all weather, cost-effective surveillance of large coastal areas. The radar uses a frequency modulated interrupted continuous wave (FMICW) signal, specifically developed for long range target detection. For the detection of fast targets, conventional processing is constrained by the limited time that a target is present in a range cell. This problem can be eliminated by using velocity matched filters to process the FMICW signals. For the case of manoeuvring targets, the signal processing must also take the target acceleration into account. Results of OTH detection and tracking of low-flying aircraft, including flight segments with manoeuvres, using the HF-GWR system are presented.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.167
Teacher spread0.158 · 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

Citations19
Published2002
Admission routes3
Has abstractyes

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