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Record W2769598732 · doi:10.1145/3152808.3152815

Channel Modelling and Efficient Time-Domain Simulation of a Harmonic Transponder Tag

2017· article· en· W2769598732 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Wave Propagation Studies
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTransponder (aeronautics)BasebandElectronic engineeringRadarHarmonicComputer scienceContext (archaeology)Channel (broadcasting)Harmonic analysisTime domainPower (physics)Nonlinear systemComputationAcousticsEngineeringTelecommunicationsPhysicsAlgorithmBandwidth (computing)

Abstract

fetched live from OpenAlex

Recent research demonstrate the feasibility of spread spectrum techniques in a harmonic radar context. A mathematical model for an existing harmonic transponder tag is developed to facilitate the evaluation of these techniques. This is done using a Taylor series approximation, which is then verified using laboratory measurements. The measurements show that the effective isotropic radiated power of the harmonic reflections is proportional to the square of the incident power density. Finally, a time-domain simulation of the transponder tag in a typical radar channel with non-idealities is described. To render the computation more efficient, a complex baseband method is developed, which takes the transponders' memoryless nonlinearity into account.

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: none
Teacher disagreement score0.527
Threshold uncertainty score0.270

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 head0.027
GPT teacher head0.238
Teacher spread0.210 · 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

Quick stats

Citations3
Published2017
Admission routes2
Has abstractyes

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