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Record W2483942882 · doi:10.1049/iet-rsn.2016.0320

Radar system with enhanced angular resolution based on a novel frequency scanning reflector antenna

2016· article· en· W2483942882 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

VenueIET Radar Sonar & Navigation · 2016
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsReflector (photography)Periscope antennaOpticsAntenna (radio)RadarResolution (logic)Remote sensingPhysicsAntenna measurementComputer scienceTelecommunicationsGeologyArtificial intelligence

Abstract

fetched live from OpenAlex

A radar system that uses a novel multi beam reflector antenna based on the frequency scanning principle is presented. The reflector primary source consists of a frequency multiplexer coupled to eight horn antennas radiating at different frequencies. A prototype of the system working in the X band is demonstrated. It is shown that over a frequency variation of only 2.2%, the main beam direction can be scanned over a sector of 50°. Frequency multiplexing allows an eight‐fold increase in scanning speed compared with purely mechanically rotated antennas. An experiment has been conducted to demonstrate the target detection capabilities of the radar. It is shown that by using a time‐multiplexed combined radiation pattern from mechanical and electrical scanning, it is possible to detect multiple targets beyond the antenna angular resolution limited by its beamwidth. Post processing of the received data from this composite scanning leads to the detection of two targets with angular separation equal to half the antenna beamwidth.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.807

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 head0.009
GPT teacher head0.205
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