On the relation between GPS tropospheric gradients and the local topography

Morel, Laurent; Moudni, Ouafae; Durand, Frédéric; Nicolas, Joëlle; Follin, Jean-Michel; Durand, Stéphane; Pottiaux, Eric; Baelen, Joël Van; Oliveira, Paulo Sergio de

doi:10.1016/j.asr.2021.04.008

Cited by 3 publications

(1 citation statement)

References 22 publications

(23 reference statements)

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“…In Brazil, in particular, there is the influence of the Amazon rainforest, which strongly affects water vapor, temperature, and pressure, over a day, according to the location (Alves et al 2016;Fan et al 2016). Some researches in the literature point out the importance of estimating tropospheric gradients that consider the effects in the horizontal directions (i.e., in terms of azimuth) (Davis et al 1993;Meindl et al 2004;Morel et al 2021). However, some initial experiments with the RTKLIB v.2.4.2 software demonstrated that the results were more accurate without the use of tropospheric horizontal gradients.…”

Section: Tropospheric Delaymentioning

confidence: 99%

Assessment of tropospheric modeling on PPP-AR performances under brazilian atmospheric condition

et al. 2022

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In the Global Navigation Satellite System (GNSS), ambiguity resolution (AR) can shorten observation time and increase the positioning quality. The correct tropospheric modeling is intrinsically related to the ability to perform AR. Here, we assessed the influence of different tropospheric correction alternatives on AR for static Precise Point Positioning (PPP) in Brazilian territory. Our goal was to provide directions to users when choosing a suitable tropospheric model for application in PPP-AR under Brazilian atmospheric conditions. Thus, this study was carried out using well-known models such as the Saastamoinen model and the Zenith Tropospheric Delay (ZTD) Estimation and Numerical Weather Prediction (NWP) model from CPTEC/INPE. Six GNSS stations from the Brazilian Network for Continuous Monitoring (RBMC) (BRAZ, UFPR, RNNA, POVE, SMAR, and SAGA) were selected. Different GNSS processing setups were considered for GNSS data registered at selected stations during summer and winter. The assessment was based on a statistical analysis of positioning accuracy during one-hour sessions. The results indicated that such as the ZTD Estimation, the NWP model provides an accuracy of a few centimeters. On the other hand, the Saastamoinen model provided decimeter level accuracy, thus it is not the recommended choice for PPP-AR in the experimental conditions.

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Section: Tropospheric Delaymentioning

confidence: 99%

Assessment of tropospheric modeling on PPP-AR performances under brazilian atmospheric condition

et al. 2022

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Mitigation of Receiver Biases to Derive Ionospheric SSR Corrections for Multi-GNSS PPP-RTK Under High Ionospheric Activity

de Oliveira,

Monico

2023

Proceedings of the 36th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 202

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Using Multi-Antenna Trajectory Constraint to Analyze BeiDou Carrier-Phase Observation Error of Dynamic Receivers

Xiong

Wang

et al. 2021

Sensors

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Appropriate cycle-slip and measurement-error models are essential for BeiDou carrier-phase-based integrity risk calculation. To establish the receiver’s measurement-error model, an accurate position reference of the GNSS antenna is fundamental for calculating the measurement error. However, it is still a challenge to acquire position references for dynamic BeiDou receivers, resulting in improper GNSS measurement-error models and unreliable integrity monitoring. This paper proposes an improved precise relative positioning scheme by adopting multi-antenna trajectory constraints for dynamic BeiDou receivers. The dynamic experiments show an obvious decline of 78.7%, at most, in the positioning failure rate of the proposed method, as compared with the traditional method. The position solutions obtained from the proposed approach are used as the reference to analyze the cycle-slip and measurement-error characteristics of the dynamic receiver. The field test results indicate that the cycle-slip rate decreases with the increase of signal-to-noise ratio (SNR), and cycle slipping obeys a positively skewed distribution that could be fitted by the Gaussian mixture model (GMM). On the other hand, the standard deviation of the carrier-phase measurement error is inversely proportional to SNR, and its distribution is characteristically fat-tailed, which could be fitted by the bi-normal model.

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On the relation between GPS tropospheric gradients and the local topography

Cited by 3 publications

References 22 publications

Assessment of tropospheric modeling on PPP-AR performances under brazilian atmospheric condition

Assessment of tropospheric modeling on PPP-AR performances under brazilian atmospheric condition

Mitigation of Receiver Biases to Derive Ionospheric SSR Corrections for Multi-GNSS PPP-RTK Under High Ionospheric Activity

Using Multi-Antenna Trajectory Constraint to Analyze BeiDou Carrier-Phase Observation Error of Dynamic Receivers

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