On Constraining Zenith Tropospheric Delays in Processing of Local GPS Networks with Bernese Software

Wielgosz, Paweł; Paziewski, Jacek; Baryła, R.

doi:10.1179/003962611x13117748891877

Cited by 25 publications

(22 citation statements)

References 11 publications

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“…Relative constraints are parameters that constrain the time evolution of the ZTDs. Wielgosz et al (2011) tested four processing strategies in which they used two reference ZTD points calculated using the Saastamoinen model (Saastamoinen, 1972), and used this model to also calculate the ZTD for a small network of receivers with baselines of 1-3.2 km. They varied the relative constraints between 0.1 and 100.0 mm.…”

Section: Introductionmentioning

confidence: 99%

An assessment of ground‐based GNSS Zenith Total Delay observation errors and their correlations using the Met Office UKV model

Bennitt

Johnson

Weston

et al. 2017

Quart J Royal Meteoro Soc

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Ground‐based GNSS Zenith Total Delay (ZTD) observations have been assimilated into the Met Office numerical weather prediction (NWP) models since 2007, and into the Met Office UKV model since its introduction in 2009. The UKV model is a 1.5 km resolution convective‐scale model and uses a 3D‐Var assimilation system. There is a plan to upgrade the UKV assimilation system from 3D‐Var to 4D‐Var in the near future, giving the opportunity to increase the temporal resolution of ZTDs assimilated. The ZTD observation‐error covariances used operationally are assumed to be uncorrelated in both space and time despite the expectation that ZTDs have temporally and spatially correlated observation errors due to the production method (e.g. batch processing using a sliding window and (time) relative constraints). To assess whether these error correlations should be accounted for in order to use ZTDs at higher temporal resolution, a posteriori diagnostics to estimate the extent of temporal and spatial error correlations in ZTD observations over the UK, BENELUX and Northern France are used. Over two separate month‐long periods, we find that ZTD observations within the same processing batch are correlated, and that correlations persist between different batches to at least 1 h. Spatially, ZTD observations are found to be correlated to a minimum of 62.5 km. We find that the extent of the diagnosed correlation between observations separated in space and time is affected by the value of the relative constraints parameter chosen by the processing centre in the GNSS processing software. The impact of the relative constraints parameter on the diagnosed error variances is greater than that revealed by innovation statistics alone.

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Section: Introductionmentioning

confidence: 99%

An assessment of ground‐based GNSS Zenith Total Delay observation errors and their correlations using the Met Office UKV model

Bennitt

Johnson

Weston

et al. 2017

Quart J Royal Meteoro Soc

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“…For reliable estimation of ZTD, a significant distance between the stations is required (Dach et al 2007;Wielgosz et al 2011b). Therefore, the best results were obtained introducing external, networkderived tropospheric corrections for the rover.…”

Section: Methodsmentioning

confidence: 99%

Assessment of GPS + Galileo and multi-frequency Galileo single-epoch precise positioning with network corrections

Paziewski

Wielgosz

2013

GPS Solut

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Several processing strategies that use dual-frequency GPS-only solution, multi-frequency Galileo-only solution, and finally tightly combined dual-frequency GPS ? Galileo solution were tested and analyzed for their applicability to single-epoch long-range precise positioning. In particular, a multi-system GPS ? Galileo solution was compared to GPS double-frequency solution as well as to Galileo double-, triple-, and quadruple-frequency solutions. Also, the performance of the strategies was analyzed under clear-sky and obstructed satellite visibility in both single-baseline and multi-baseline modes. The results indicate that tightly combined GPS ? Galileo instantaneous positioning has a clear advantage over single-system solutions and provides an accurate and reliable solution. It was also confirmed that application of multi-frequency observations in case of Galileo system has an advantage over a dual-frequency solution.

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“…The wet part of troposphere delay is estimated by zenith wet parameter along with Niell mapping function [27]. The parameter is assumed to be a random-walk process [6,28]. The corresponding state transition between two consecutive epochs is τ k = τ k−1 + ω, in which ω denotes the process noise with the corresponding variance σ ω 2 = q τ ∆t, where q τ and ∆t is the spectrum density coefficients and the sampling internal, respectively.…”

Section: Experiments Setupmentioning

confidence: 99%

Improving the Triple-Carrier Ambiguity Resolution with a New Ionosphere-Free and Variance-Restricted Method

Chun

Zhao

et al. 2017

Remote Sensing

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Abstract:The ionospheric bias and the combined observation noise are two crucial factors affecting the reliability of the triple-carrier ambiguity resolution (TCAR). In order to obtain a better reliability of TCAR, a new ionosphere-free and variance-restricted TCAR method is proposed through exploring the ambiguity link between each step of TCAR. The method constructs an ionosphere-free combination and simultaneously restricts the combined observation noise with respect to the wavelength to a sufficiently low level for each step of TCAR. The performance of the proposed method is tested by the datasets from the BeiDou navigation satellite system (BDS), with the baseline varying from 7.7 km to 68.8 km. Comparing with the state-of-the-art TCAR methods, the experimental results indicate that the proposed method can obtain a better performance of ambiguity resolution, even though the double-differenced ionospheric delay increases up to 72.4 cm at the baseline of 68.8 km.

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On Constraining Zenith Tropospheric Delays in Processing of Local GPS Networks with Bernese Software

Cited by 25 publications

References 11 publications

An assessment of ground‐based GNSS Zenith Total Delay observation errors and their correlations using the Met Office UKV model

An assessment of ground‐based GNSS Zenith Total Delay observation errors and their correlations using the Met Office UKV model

Assessment of GPS + Galileo and multi-frequency Galileo single-epoch precise positioning with network corrections

Improving the Triple-Carrier Ambiguity Resolution with a New Ionosphere-Free and Variance-Restricted Method

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