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. 2017 Jun 9;17(6):1347.
doi: 10.3390/s17061347.

Development and Positioning Accuracy Assessment of Single-Frequency Precise Point Positioning Algorithms by Combining GPS Code-Pseudorange Measurements with Real-Time SSR Corrections

Affiliations

Development and Positioning Accuracy Assessment of Single-Frequency Precise Point Positioning Algorithms by Combining GPS Code-Pseudorange Measurements with Real-Time SSR Corrections

Miso Kim et al. Sensors (Basel). .

Abstract

We have developed a suite of real-time precise point positioning programs to process GPS pseudorange observables, and validated their performance through static and kinematic positioning tests. To correct inaccurate broadcast orbits and clocks, and account for signal delays occurring from the ionosphere and troposphere, we applied State Space Representation (SSR) error corrections provided by the Seoul Broadcasting System (SBS) in South Korea. Site displacements due to solid earth tide loading are also considered for the purpose of improving the positioning accuracy, particularly in the height direction. When the developed algorithm was tested under static positioning, Kalman-filtered solutions produced a root-mean-square error (RMSE) of 0.32 and 0.40 m in the horizontal and vertical directions, respectively. For the moving platform, the RMSE was found to be 0.53 and 0.69 m in the horizontal and vertical directions.

Keywords: GPS; PPP; SSR; navigation; pseudorange.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Location of 20-site PPP-RTK network in South Korea. The red crosses denote positions where gridded ionospheric and tropospheric delay corrections are generated in SSR format. The average inter-site distance is ~70 km.
Figure 2
Figure 2
Positioning errors of PPP estimates of the site SBSA on 19 September 2015. These Kalman-filtered estimates are derived from C/A code measurements.
Figure 3
Figure 3
Coordinate rate of change (CROC) for all datasets used in this study. CROCs from 44 hourly datasets were plotted for the first 10 min.
Figure 4
Figure 4
Relative frequency of positioning accuracies after convergence in the (a) horizontal and (b) vertical directions. A total of 44 test cases are included in the histogram.
Figure 5
Figure 5
Doppler-based vehicle speed determination for a kinematic test drive.
Figure 6
Figure 6
Sensitivity of the positioning error on the vehicle speed in (a) SPP and (b) PPP modes. The correlation coefficients are (a) −0.02 and (b) +0.02.

References

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