Real-time single-frequency precise point positioning: accuracy assessment

Bree, R.J.P. van; Tiberius, C.C.J.M.

doi:10.1007/s10291-011-0228-6

Cited by 64 publications

(31 citation statements)

References 8 publications

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“…The mean values of the convergence time in the horizontal position is 1.9, and 1.3 h for the height component. The comparison to the previous research (van Bree and Tiberius 2012;Cai et al 2013;Choy and Silcock 2011;Constantin-Octavian et al 2009) shows comparable convergence times obtained in this study and indicates that the convergence time is still an issue to be dealt with in the future. According to Fig.…”

Section: Convergence Analysis For the Static Case Studysupporting

confidence: 60%

Single-frequency precise point positioning: an analytical approach

Sterle

Stopar

Prešeren

2015

J Geod

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An analytical approach to single-frequency precise point positioning (PPP) is discussed in this paper. To obtain highest precision results, all biases must be eliminated or modelled to centimetre level. The use of the GRAPHIC ionosphere-free linear combination that is based on single-frequency phase and code observations eliminates the ionosphere bias; however, the rank deficient GaussMarkov model is obtained. We explicitly determine rank deficiency of a Gauss-Markov model as a number of all ambiguity clusters, each of them defined as a set of all ambiguities overlapping in time. On the basis of S-transformation we prove that the single-frequency PPP represents an unbiased estimator for station coordinates and troposphere parameters, while it presents a biased estimator for ambiguities and receiver-clock error parameters. Additionally we describe the estimable parameters in each ambiguity cluster as the differences between ambiguity parameters and the sum of receiver-clock parameters with one of the ambiguities. We also show that any other particular solution on the basis of S-transformation is obtained only when the common leastsquares estimation in single step is applied. The recursive least-squares estimation with parameter pre-elimination only determines the vector of unknowns as possible to transform through S-transformation, whereas the same does not hold for the cofactor matrix of unknowns. For a case study, we present our method on GPS data from 19 permanent stations (14 IGS and 5 EPN) in Europe, for 89 consecutive days in the beginning of 2013. The static case study revealed the precision of daily coordinates as 7.6, 11.7 and 19.6 mm for N , E and U , respectively. The accuracies of the N , E and U components were determined as 6.9, 13.5 and 31.4 mm, respectively, and were calculated using the Helmert transformation of weighted-mean daily single-frequency PPP and IGb08 coordinates. The estimated convergence times were relatively diverse, expanding from 1.75 h (CAGL) to 5.25 h (GRAZ) for the horizontal position with the 10-cm precision threshold, and from 1.00 h (GRAS) to 3.25 h (BZRG) for the height component with a 20-cm precision threshold. The convergence times were shown to be strongly correlated to the remaining unmodelled biases in the GRAPHIC linear combination, primarily with multipath, where the correlation coefficient for the horizontal position was determined as ρ P = 0.68 and for height as ρ U = 0.85. The comparison to the model where raw observations are used (C, L) and where the ionosphere bias is mitigated with global ionosphere models (GIM) revealed the supremacy of the proposed single-frequency PPP method based on the GRAPHIC linear combination in both the static and the semi-kinematic case study. In the static case study, the proposed singlefrequency PPP model was superior both in terms of precision and accuracy. In the semi-kinematic case study, the usage of raw observations with GIM would improve results only when multipath and noise of code observations would prevail over the remaini...

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Section: Convergence Analysis For the Static Case Studysupporting

confidence: 60%

Single-frequency precise point positioning: an analytical approach

Sterle

Stopar

Prešeren

2015

J Geod

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show abstract

“…As a result, the position accuracy improves much faster than that of traditional dual frequency PPP and the GRAPHIC method, reaching an accuracy of several decimeters already within a few epochs (i.e. seconds) [30].…”

Section: Gps Single Frequency Precise Pointmentioning

confidence: 92%

Lane Determination With GPS Precise Point Positioning

Knoop

Bakker

Tiberius

et al. 2017

IEEE Trans. Intell. Transport. Syst.

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Abstract-Modern Intelligent Transport Solutions can achieve improvement of traffic flow on motorways. With lane-specific measurements and lane-specific control more measures are possible. Single Frequency Precise Point Positioning (PPP) is a newly developed and affordable technique to achieve an improved position accuracy compared to Global Positioning System (GPS) standalone positioning. GPS-PPP allows for sub-meter accurate positioning, in real time, of vehicles on a motorway. This paper tests this technique in real life; moreover, it presents a methodology to map the lanes on a motorway using data collected by this technique. The methodology exploits the high accuracy and the fact that most driving is within a lane. In a field test, a GPS-PPP equipped vehicle drives a specific motorway stretch 100 times, for which the GPS-PPP trajectory data are collected. Using these data the positions and the widths of different lanes are successfully estimated. Comparison with the ground truth shows a dm accuracy. With the parametrized lanes, vehicles can be tracked down to a lane with the GPS-PPP device.

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“…van Bree and Tiberius (2012) presented the performance of real-time single-frequency precise point positioning demonstrated in terms of position accuracy. This precise point positioning technique relies on predicted satellite orbits, predicted global ionospheric maps and in particular on real-time satellite clock estimates.…”

Section: Global Positioning System-based Navigation Systemsmentioning

confidence: 99%

A GPS-based real-time avalanche path warning and navigation system

Dewali

Joshi

Ganju

et al. 2013

Geomatics, Natural Hazards and Risk

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Frequent avalanche activity and poor route visibility due to bad weather make snow bound mountainous regions quite unsafe for travel during the winter months. Hence, there is a need for an accurate navigation device that can help in the safe movement of mountain travellers in avalanche prone areas. This paper presents the design and implementation of a portable GPS-based warning and navigation system, capable of providing safe navigation to mountain travellers in avalanche-prone regions. The system uses a hand-held GPS with a positional accuracy of 2-5 m. A customized application has been developed for the visualization of maps, navigation, positioning, tracking and issuing avalanche path warning. On the basis of registered avalanche path data, this application updates the traveller at predefined time intervals on whether the current position of the traveller is inside or outside an avalanche path. When the traveller enters an avalanche prone area, a warning in the form of text and voice messages is generated by the device. For the testing and accuracy analysis of this application, a part of the Manali-Dhundi highway was designated as the study area. In numerous track tests, the system has demonstrated a high level of accuracy and a repetition in locating registered avalanche sites in open slopes/bare lands but accuracy deteriorated in narrow valley/forested areas. An analysis of the trial results shows that the system can help travellers in snowbound mountain regions as a warning and navigation tool, using accurately registered avalanche sites and an appropriate buffer size around these sites.

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Real-time single-frequency precise point positioning: accuracy assessment

Cited by 64 publications

References 8 publications

Single-frequency precise point positioning: an analytical approach

Single-frequency precise point positioning: an analytical approach

Lane Determination With GPS Precise Point Positioning

A GPS-based real-time avalanche path warning and navigation system

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