2019
DOI: 10.1088/1361-6501/ab11b5
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Stochastic modeling of between-receiver single-differenced ionospheric delays and its application to medium baseline RTK positioning

Abstract: Global navigation satellite system (GNSS) carrier phase integer ambiguity resolution is one of the key issues and challenges for precise relative positioning. For baselines greater than 10 km, integer ambiguity resolution becomes difficult because the ionospheric delay effects on the single-differenced (SD) observations are significant. One way to deal with this difficulty is to weight the ionospheric delays, instead of treating them in a deterministic way, giving rise to the so-called ionosphere-weighted mode… Show more

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Cited by 14 publications
(7 citation statements)
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References 34 publications
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“…The non‐combination strategy has two advantages: (a) L1 and WL ambiguities are estimated at the same time, and it is very convenient to continue to search for other ambiguities and update the normal equation after partial ambiguity is fixed. Compared with IF combination strategy, the complexity of the model is greatly reduced; (b) This non‐combinative model retains ionospheric parameters, which facilitates the addition of the external ionospheric weighted constraint strategy (Mi et al., 2019; Odolinski & Teunissen, 2017; Wielgosz, 2011). Previous studies have shown that ionospheric weighted constraint strategy is one of the most effective methods for fast relative positioning of GNSS (Odijk, 2000b; Odolinski & Teunissen, 2017; Paziewski, 2016; Paziewski & Wielgosz, 2014; Wielgosz, 2011; R. Zhang et al., 2022), that is, the prior ionospheric correction information and its variance are introduced into the function model as virtual observations, which can greatly improve the fixed effect of ambiguity.…”
Section: Theory and Methodsmentioning
confidence: 99%
“…The non‐combination strategy has two advantages: (a) L1 and WL ambiguities are estimated at the same time, and it is very convenient to continue to search for other ambiguities and update the normal equation after partial ambiguity is fixed. Compared with IF combination strategy, the complexity of the model is greatly reduced; (b) This non‐combinative model retains ionospheric parameters, which facilitates the addition of the external ionospheric weighted constraint strategy (Mi et al., 2019; Odolinski & Teunissen, 2017; Wielgosz, 2011). Previous studies have shown that ionospheric weighted constraint strategy is one of the most effective methods for fast relative positioning of GNSS (Odijk, 2000b; Odolinski & Teunissen, 2017; Paziewski, 2016; Paziewski & Wielgosz, 2014; Wielgosz, 2011; R. Zhang et al., 2022), that is, the prior ionospheric correction information and its variance are introduced into the function model as virtual observations, which can greatly improve the fixed effect of ambiguity.…”
Section: Theory and Methodsmentioning
confidence: 99%
“…For short baselines of a few kilometers, relative tropospheric and ionospheric delays can be ignored (Mi et al 2019b;Odolinski et al 2015b). In this case, the SD RTK model can be expressed as…”
Section: Sd Rtk Modelmentioning
confidence: 99%
“…Consider a zero-or short-baseline configuration for which one can safely assume no differential ionospheric or tropospheric effects (Odolinski et al 2014c, Zhang et al 2016, Mi et al 2019a. The rank-deficient RTK model using an SD code and phase observations of dual constellations can be given as…”
Section: Rtk Model: Isbs Estimation and Applicationsmentioning
confidence: 99%