Titlebook: GPS Stochastic Modelling; Signal Quality Measu Xiaoguang Luo Book 2013 Springer-Verlag Berlin Heidelberg 2013 ARMA Process.AutoRegressive M

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Ordered Structures and Semiringster estimates and realistic quality measures. In comparison to the highly developed functional model, the stochastic model applied in many GPS software products is considered unrealistic due to the elevation-dependent (or even identical) weighting model and the neglect of physical correlations betwe

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挫败

978-3-662-51188-6Springer-Verlag Berlin Heidelberg 2013

率直

GPS Stochastic Modelling978-3-642-34836-5Series ISSN 2190-5053 Series E-ISSN 2190-5061

合群

https://doi.org/10.1007/978-0-230-28623-8is still a controversial research topic. Here the functional model is discussed with a special focus on the error sources considerably affecting GPS positioning quality, while the stochastic model is presented with respect to observation weighting and correlation structure.

Gratuitous

Stanley Mazor,Patricia Langstraatvalues, then the adjustment results obtained by means of the commonly used elevation-dependent weighting scheme CSC2(BS) and the proposed SNR-based EMPSNR2. Section 6.3 summarises the main findings from the case studies, providing a realistic picture of the advantages of EMPSNR2.

Indolent

https://doi.org/10.1057/9781403900951 scalograms, and statistically evaluated by means of hypothesis tests. Making use of the estimated ARMA models, the PPP stochastic model is extended by taking the noise’s temporal correlation into account.

过份艳丽

Ordered Structures and Semiringsen GPS observations. Following the specific objectives described in Sect. 1.3, this thesis has proposed an advanced observation weighting scheme based on signal-to-noise ratio (SNR) measurements and a rigorous temporal correlation analysis using residual time series from LS evaluation.

inchoate

Mathematical Models for GPS Positioning,is still a controversial research topic. Here the functional model is discussed with a special focus on the error sources considerably affecting GPS positioning quality, while the stochastic model is presented with respect to observation weighting and correlation structure.

CANE

Results of SNR-Based Observation Weighting,values, then the adjustment results obtained by means of the commonly used elevation-dependent weighting scheme CSC2(BS) and the proposed SNR-based EMPSNR2. Section 6.3 summarises the main findings from the case studies, providing a realistic picture of the advantages of EMPSNR2.