An Instantaneous Ambiguity Resolution Procedure Suitable for Medium-Scale GPS Reference Station Networks

Chen, H.-Y.; Rizos, Chris; Han, S.

doi:10.1179/sre.2004.37.291.396

Cited by 22 publications

(13 citation statements)

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“…It enables the generation of the corrections transmitted to the users to be interpolated for their position. Various techniques have been developed for the determination of the correct integers for reference stations at medium distances at the beginning of the network's operation, using data over several hours [12,13].…”

Section: Ambiguity Resolution and Validation For Reference Station Nementioning

confidence: 99%

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Development and Assessment of a Multiple Rover Network Approach for Real-Time GNSS Networks

Zinas¹

2011

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In this paper multiple GNSS users are considered as a virtual network of stations that can operate autonomously and combine with the reference station network. The existing network infrastructure is densified through the shorter inter‐receiver distances. A new network RTK methodology that encompasses the multiple users of network RTK services for instantaneous positioning is presented. Users are equipped with a means of two‐way communication that enables the data to be transmitted to a central processing facility (CPF) on an epoch by epoch basis. Once the reference station ambiguities are resolved and the regional ionospheric corrections are estimated and filtered, the proposed Multiple Rover Network (MRN) solution is applied. The MRN solution increases the ambiguity success rates for all rovers for the designed testbed network compared to the single baseline solution (SBS) and the single rover network solution (SRN). The highest increment is observed for the rover operating outside the network.

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Section: Ambiguity Resolution and Validation For Reference Station Nementioning

confidence: 99%

“…The instantaneous ambiguity resolution for all three approaches was carried out using the LAMBDA method [11]. The ratio test was employed for the validation of the integer values [13]. Both dual frequency carrier phase and pseudorange measurements were used.…”

Section: Test Sub-network Amentioning

confidence: 99%

Development and Assessment of a Multiple Rover Network Approach for Real-Time GNSS Networks

Zinas¹

2011

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“…Therefore, reducing the differential ionospheric effect is one of the most important steps towards improving ambiguity resolution and to achieve accurate medium-and long-range kinematic positioning (Odijk, 2000;Vollath et al, 2000;Kashani et al, 2005;Wielgosz et al, 2005). In recent years, many approaches have been developed to enable high-accuracy GPS kinematic positioning over longer distances (Wübbena et al, 1996;Han, 1997;Raquet, 1998;Wanninger, 1999;Lachapelle et al, 2000;Odijk et al, 2000;Hernandez-Pajares et al, 2000;Cannon et al, 2001;Rizos, 2002;Hu et al, 2003;Chen et al, 2004;Wielgosz et al, 2004Wielgosz et al, , 2005. All of these investigations involve the Copyright c The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB.…”

Section: Introductionmentioning

confidence: 99%

Differential ionosphere modelling for single-reference long-baseline GPS kinematic positioning

Dekkiche¹,

Kahlouche²,

Abbas³

2010

Earth Planet Sp

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The ionospheric effect is considered to be one of the most important error sources limiting the quality of GPS kinematic positioning. Over longer distances, differential ionospheric residuals become larger and may affect the ambiguity resolution process. We present here a Kalman-filter-based GPS ionosphere model for long-baseline kinematic applications. This observational model includes the differential ionosphere as an additional unknown factor with position coordinates and ambiguities, while the temporal correlations of the state vector are specified in the dynamic model. The temporal behaviour of ionospheric residuals is determined by the analysis of their autocorrelation function. This newly developed method was applied on a set of data collected by a roving receiver located offshore of Oran (Algeria). The results show that for baselines of about 80 km, the root mean square is at the level of a few centimetres. For tests of baselines of about 51 km, the comparison between short-and longbaseline solutions revealed that mean differences of a few millimetres and 2 cm are obtained for the horizontal coordinates and vertical component, respectively, and the standard deviation (σ ) of differences on the scale of a few centimetres.

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“…Although a great deal of published research has focused on the resolution of the integer ambiguity (e.g. Sun et al, 1999;Dai et al, 2003;Chen et al, 2004), additional observation data are usually involved in the computation. The characteristics of systematic errors of the medium-long baseline network have also been studied (e.g.…”

Section: Introductionmentioning

confidence: 99%

An improved regularization method for estimating near real-time systematic errors suitable for medium-long GPS baseline solutions

et al. 2008

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It is well known that the key problem associated with network-based real-time kinematic (RTK) positioning is the estimation of systematic errors of GPS observations, such as residual ionospheric delays, tropospheric delays, and orbit errors, particularly for medium-long baselines. Existing methods dealing with these systematic errors are either not applicable for making estimations in real-time or require additional observations in the computation. In both cases, the result is a difficulty in performing rapid positioning. We have developed a new strategy for estimating the systematic errors for near real-time applications. In this approach, only two epochs of observations are used each time to estimate the parameters. In order to overcome severe ill-conditioned problems of the normal equation, the Tikhonov regularization method is used. We suggest that the regularized matrix be constructed by combining the a priori information of the known coordinates of the reference stations, followed by the determination of the corresponding regularized parameter. A series of systematic errors estimation can be obtained using a session of GPS observations, and the new process can assist in resolving the integer ambiguities of medium-long baselines and in constructing the virtual observations for the virtual reference station. A number of tests using three medium-to long-range baselines (from tens of kilometers to longer than 1000 kilometers) are used to validate the new approach. Test results indicate that the coordinates of three baseline lengths derived are in the order of several centimeters after the systematical errors are successfully removed. Our results demonstrate that the proposed method can effectively estimate systematic errors in the near real-time for medium-long GPS baseline solutions.

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An Instantaneous Ambiguity Resolution Procedure Suitable for Medium-Scale GPS Reference Station Networks

Cited by 22 publications

References 1 publication

Development and Assessment of a Multiple Rover Network Approach for Real-Time GNSS Networks

Development and Assessment of a Multiple Rover Network Approach for Real-Time GNSS Networks

Differential ionosphere modelling for single-reference long-baseline GPS kinematic positioning

An improved regularization method for estimating near real-time systematic errors suitable for medium-long GPS baseline solutions

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