Technical Papers
Mar 12, 2018

Satellite-Clock Modeling in Single-Frequency PPP-RTK Processing

Publication: Journal of Surveying Engineering
Volume 144, Issue 2

Abstract

The real-time kinematic precise point positioning (PPP-RTK) technique enables integer ambiguity resolution by providing single-receiver users with information on the satellite phase biases next to the standard PPP corrections. Using undifferenced and uncombined observations, rank deficiencies existing in the design matrix need to be eliminated to form estimable parameters. In this contribution, the estimability of the parameters was studied in single-frequency ionosphere-weighted scenario, given a dynamic satellite-clock model in the network Kalman filter. In case of latency of the network corrections, the estimable satellite clocks, satellite phase biases, and ionospheric delays need to be predicted over short time spans. With and without satellite-clock models incorporated in the network Kalman filter, different approaches were used to predict the network corrections. This contribution shows how the predicted network corrections responded to the presence and absence of satellite-clock models. These differences in the predicted network corrections were also reflected in the user positioning results. Using three different 1-Hz global positioning system (GPS) single-frequency data sets, two user stations in one small-scale network were used to compute the positioning results, applying predicted network corrections. The latency of the network products ranges from 3 to 10 s. It was observed that applying strong satellite-clock constraints in the network Kalman filter (i.e., with the process noise of 1 or 0.5 mm per square root of second) reduced the root-mean squares (RMS) of the user positioning results to centimeters in the horizontal directions and decimeters in the vertical direction for latencies larger than 6 s, compared to the cases without a satellite-clock model.

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Acknowledgments

The authors thank the IGS, GA, and Vicmap Position—GPSnet (Victoria State Government) for providing the orbit and the clock products, the precise coordinates, and the observation data of the stations. The orbit and clock products were obtained through the online archives of the Crustal Dynamics Data Information System (CDDIS), NASA Goddard Space Flight Center, Greenbelt, MD (ftp://cddis.gsfc.nasa.gov/gnss/products/). The authors also thank their colleagues in the GNSS Research Centre, Curtin University, for their contributions on the development of the Curtin PPP-RTK Software. P. J. G. Teunissen is recipient of an Australian Research Council (ARC) Federation Fellowship (Project FF0883188).

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 144Issue 2May 2018

History

Received: Sep 1, 2017
Accepted: Dec 21, 2017
Published online: Mar 12, 2018
Published in print: May 1, 2018
Discussion open until: Aug 12, 2018

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Authors

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Research Associate, GNSS Research Centre, Curtin Univ., GPO Box U1987, Perth, WA 6845, Australia (corresponding author). ORCID: https://orcid.org/0000-0001-5688-6937. E-mail: [email protected]
Amir Khodabandeh
Research Fellow, GNSS Research Centre, Curtin Univ., GPO Box U1987, Perth, WA 6845, Australia.
Peter J. G. Teunissen
Professor, GNSS Research Centre, Curtin Univ., GPO Box U1987, Perth, WA 6845, Australia; Professor, Dept. of Geoscience and Remote Sensing, Delft Univ. of Technology, PO Box 5048, 2600 GA, Delft, Netherlands.
Nandakumaran Nadarajah
Research Fellow, GNSS Research Centre, Curtin Univ., GPO Box U1987, Perth, WA 6845, Australia.

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