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Record W2124541692 · doi:10.1109/lsp.2010.2047958

OFDM Transmission for Time-Based Range Estimation

2010· article· en· W2124541692 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

VenueIEEE Signal Processing Letters · 2010
Typearticle
Languageen
FieldEngineering
TopicIndoor and Outdoor Localization Technologies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCramér–Rao boundOrthogonal frequency-division multiplexingUpper and lower boundsEstimatorMaximum likelihoodTransmission (telecommunications)Channel (broadcasting)AlgorithmEstimation theoryStatisticsRange (aeronautics)Signal-to-noise ratio (imaging)MathematicsComputer scienceTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

OFDM is proposed for time-based range estimation (TBRE) and analyzed with respect to its accuracy, both theoretically, in terms of its Cramer-Rao lower bound (CRLB), and practically, in terms of its maximum likelihood estimator (MLE). The CRLB for OFDM transmission is compared to that for pseudo-noise (PN) transmission, demonstrating a large performance gap in favour of OFDM. Moveover, the MLE for TBRE is compared to the commonly used MLE for channel estimation (CE), demonstrating a performance gap in favour of the MLE for TBRE. Finally, the CRLB for OFDM is compared to its corresponding MLE for TBRE, demonstrating a good agreement in performance except for the so-called ¿threshold effect¿, which is analyzed analytically in this letter.

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: Empirical · Consensus signal: none
Teacher disagreement score0.892
Threshold uncertainty score0.529

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 head0.007
GPT teacher head0.213
Teacher spread0.206 · 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