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Record W2114774401 · doi:10.1109/issse.2007.4294528

An Asymmetric Double Sided Two-Way Ranging for Crystal Offset

2007· article· en· W2114774401 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIndoor and Outdoor Localization Technologies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRangingOffset (computer science)TransceiverBandwidth (computing)Computer scienceNanosecondSynchronization (alternating current)Distance measurementElectronic engineeringPhysicsTelecommunicationsOpticsEngineeringLaserWirelessArtificial intelligence

Abstract

fetched live from OpenAlex

By measuring the time-of-flight (TOF) of ultra-wide bandwidth (UWB) signals, the distance between two transceivers can be obtained. A two-way ranging method has been considered because one-way ranging is susceptible to the network synchronization. However offsets between the crystal oscillators in different transceivers can generate frequency errors, which will influence the estimated round trip time of the signals. Temporal errors on the order of nanoseconds will eventually reduce distance errors on the order of decimeters. This paper presents a novel asymmetric double sided two-way ranging method, which enhances the tolerance for crystal offsets compared with the conventional two-way ranging method It also reduces the detection time of the symmetric double sided two-way ranging method by half.

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 score0.923
Threshold uncertainty score0.437

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 head0.012
GPT teacher head0.262
Teacher spread0.250 · 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