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Record W2365814529

An Analytical Stochastic Model of Multi-differences GPS Carrier Phase Data

2004· article· en· W2365814529 on OpenAlexaff
Zhang Chuanding, Xiaoping Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInertial Sensor and Navigation
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsInverseToeplitz matrixMathematicsMatrix (chemical analysis)Kronecker deltaCovariance matrixApplied mathematicsEstimation of covariance matricesKronecker productCovarianceAlgorithmStatisticsPhysicsPure mathematicsGeometry
DOInot available

Abstract

fetched live from OpenAlex

Differential technique is a good method for GPS positioning. Suppose that for differential GPS, two or more receivers collect simultaneous measurements from common satellites at each epoch, and all carrier phase observables have same normally distributed. The purpose of this paper is to obtain an analytical probability distribution of the single-, double-, triple- and multi-differences. The variance-covariance matrix Q can be expressed as Kronecker products of several small matrices, so the inverse matrix of Q is equal to Kronecker products of inverse of several small matrices. Moreover, these small matrixes are circular or symmetric Toeplitz matrix, so their inverse matrices have analytical solutions. The analytical model ISO2002 proposed in this paper to compute the inverse matrix of Q was shown to be very effective.

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 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 score0.498
Threshold uncertainty score0.243

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 head0.084
GPT teacher head0.329
Teacher spread0.245 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2004
Admission routes1
Has abstractyes

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