Analysis of Biases Influencing Successful Rover Positioning with GNSS-Network RTK

Euler, Hans-Jürgen; Seeger, Stefan; Takac, Frank

doi:10.5081/jgps.3.1.70

Cited by 4 publications

(2 citation statements)

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“…Since the ionospheric delay is one of the predominant errors in precise relative positioning, several techniques have been developed to deal with its influence (Odijk 2002, Wanninger 2002, Euler 2004, Grejner-Brzezinska et al 2004. One typical way is to take advantage of the ionosphere-weighted model in case of medium baseline, in which the SD ionospheric delays…”

Section: Introductionmentioning

confidence: 99%

Stochastic modeling of between-receiver single-differenced ionospheric delays and its application to medium baseline RTK positioning

Zhang

Yuan

2019

Meas. Sci. Technol.

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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 model. With this model relative positioning technology is enabled to work with much larger inter-station distances than its current status. Here we seek to gain insight into how to reasonably weight the SD ionospheric delays, normally introduced in the ionosphere-weighted model as pseudo observables, which consists of two sequential steps. The first step seeks to construct realistic stochastic models for the GNSS observables with the ionosphere-fixed model where the SD ionospheric delays are assumed to be absent. With the results so obtained in the second step we estimate the variance of the SD ionospheric delays with the ionosphere-float model, in which the SD ionospheric delays are assumed to be fully unknown. Numerical tests based on GPS data from the National Geodetic Survey CORS network demonstrate a clear improvement in medium baseline real time kinematic (RTK) positioning performance, as compared to the ionosphere-weighted model that employs the unrealistic stochastic models for the pseudo SD ionospheric observables.

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Section: Introductionmentioning

confidence: 99%

Stochastic modeling of between-receiver single-differenced ionospheric delays and its application to medium baseline RTK positioning

Zhang

Yuan

2019

Meas. Sci. Technol.

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“…The network corrections can be separated into dispersive (ionosphere-related) and non-dispersive (troposphere-and orbit-related) components according to their dependency on GPS signal frequency. Euler et al (2004) discussed the impact of incorrectly determined network integer ambiguity on the separated dispersive and non-dispersive corrections. Keenan et al (2002) proposed a user standard correction transmission format that separates the network corrections.…”

Section: Introductionmentioning

confidence: 99%

Application of Running Average Function to Non-Dispersive Errors of Network-Based Real-Time Kinematic Positioning

Lim¹,

Rizos²,

Musa³

2008

J. of GPS

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The GPS errors can be separated into a frequency-dependent or dispersive component (e.g. the ionospheric delay) and a non-dispersive component (e.g. the tropospheric delay and orbit biases). Dispersive and nondispersive errors have different dynamic effects on the GPS network corrections. The former exhibit rapid changes with high variations due to the effect of free electrons in the ionosphere, whilst the latter change slowly and smoothly over time due to the characteristic behaviour of the tropospheric delay and the nature of orbit biases. A running average is proposed in this paper to provide a stable network correction for the non-dispersive term. It is found that the non-dispersive correction can be used to obtain better ionosphere-free measurements, and therefore helpful in resolving the long-range integer ambiguity of the GPS carrier-phase measurements. Once the integer ambiguities have been resolved, dispersive and non-dispersive corrections can be applied to the fixed carrier-phase measurements for positioning step so as to improve the accuracy of the estimated coordinates. Instantaneous positioning i.e. single-epoch positioning, has been tested for two regional networks: SydNET, Sydney, and SIMRSN, Singapore. The test results have shown that the proposed strategy performs well in generating the network corrections, fixing ambiguities and computing a user's position.

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Evaluation of GPS/Galileo RTK Network Configuration: Case Study in Greece

Tsakiri

2011

J. Surv. Eng.

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Analysis of Biases Influencing Successful Rover Positioning with GNSS-Network RTK

Cited by 4 publications

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Stochastic modeling of between-receiver single-differenced ionospheric delays and its application to medium baseline RTK positioning

Stochastic modeling of between-receiver single-differenced ionospheric delays and its application to medium baseline RTK positioning

Application of Running Average Function to Non-Dispersive Errors of Network-Based Real-Time Kinematic Positioning

Evaluation of GPS/Galileo RTK Network Configuration: Case Study in Greece

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