Real-Time Precise Point Positioning (RTPPP) with raw observations and its application in real-time regional ionospheric VTEC modeling

Precise Point Positioning (PPP) is an absolute positioning technology mainly used in post data processing. With the continuously increasing demand for real-time high-precision applications in positioning, timing, retrieval of atmospheric parameters, etc., Real-Time PPP (RTPPP) and its applications have drawn more and more research attention in recent years. This study focuses on the models, algorithms and ionospheric applications of RTPPP on the basis of raw observations, in which high-precision slant ionospheric delays are estimated among others in real time. For this purpose, a robust processing strategy for multi-station RTPPP with raw observations has been proposed and realized, in which real-time data streams and State-Space-Representative (SSR) satellite orbit and clock corrections are used. With the RTPPP-derived slant ionospheric delays from a regional network, a real-time regional ionospheric Vertical Total Electron Content (VTEC) modeling method is proposed based on Adjusted Spherical Harmonic Functions and a Moving-Window Filter. SSR satellite orbit and clock corrections from different IGS analysis centers are evaluated. Ten globally distributed real-time stations are used to evaluate the positioning performances of the proposed RTPPP algorithms in both static and kinematic modes. RMS values of positioning errors in static/kinematic mode are 5.2/15.5, 4.7/17.4 and 12.8/46.6 mm, for north, east and up components, respectively. Real-time slant ionospheric delays from RTPPP are compared with those from the traditional Carrier-to-Code Leveling (CCL) method, in terms of function model, formal precision and between-receiver differences of short baseline. Results show that slant ionospheric delays from RTPPP are more precise and have a much better convergence performance than those from the CCL method in real-time processing. 30 real-time stations from the Asia-Pacific Reference Frame network are used to model the ionospheric VTECs over Australia in real time, with slant ionospheric delays from both RTPPP and CCL methods for comparison. RMS of the VTEC differences between RTPPP/CCL method and CODE final products is 0.91/1.09 TECU, and RMS of the VTEC differences between RTPPP and CCL methods is 0.67 TECU. Slant Total Electron Contents retrieved from different VTEC models are also validated with epoch-differenced Geometry-Free combinations of dual-frequency phase observations, and mean RMS values are 2.14, 2.33 and 2.07 TECU for RTPPP method, CCL method and CODE final products, respectively. This shows the superiority of RTPPP-derived slant ionospheric delays in real-time ionospheric VTEC modeling.

[1]  Baocheng Zhang,et al.  Three methods to retrieve slant total electron content measurements from ground‐based GPS receivers and performance assessment , 2016 .

[2]  A. Garcia-Rigo,et al.  The IGS VTEC maps: a reliable source of ionospheric information since 1998 , 2009 .

[3]  Maorong Ge,et al.  Real‐time high‐rate co‐seismic displacement from ambiguity‐fixed precise point positioning: Application to earthquake early warning , 2013 .

[4]  J. M. Juan,et al.  Accuracy of ionospheric models used in GNSS and SBAS: methodology and analysis , 2016, Journal of Geodesy.

[5]  Mohamed Elsobeiey,et al.  Performance of real-time Precise Point Positioning using IGS real-time service , 2016, GPS Solutions.

[6]  Baocheng Zhang,et al.  Multi-GNSS precise point positioning (MGPPP) using raw observations , 2017, Journal of Geodesy.

[7]  M. Ge,et al.  A computationally efficient approach for estimating high-rate satellite clock corrections in realtime , 2011, GPS Solutions.

[8]  Tomasz Hadas,et al.  IGS RTS precise orbits and clocks verification and quality degradation over time , 2014, GPS Solutions.

[9]  Shengfeng Gu,et al.  An enhanced algorithm to estimate BDS satellite’s differential code biases , 2016, Journal of Geodesy.

[10]  Christian Rocken,et al.  Real-time Clock and Orbit Corrections for Improved Point Positioning via NTRIP , 2007 .

[11]  Jinling Wang,et al.  Modeling and assessment of triple-frequency BDS precise point positioning , 2016, Journal of Geodesy.

[12]  Chris Rizos,et al.  Uncovering common misconceptions in GNSS Precise Point Positioning and its future prospect , 2016, GPS Solutions.

[13]  Anthony J. Mannucci,et al.  A global mapping technique for GPS‐derived ionospheric total electron content measurements , 1998 .

[14]  Ole Baltazar Andersen,et al.  Surface Ice Flow Velocity and Tide Retrieval of the Amery Ice Shelf using Precise Point Positioning , 2006 .

[15]  Peter Steigenberger,et al.  Differential Code Bias Estimation using Multi‐GNSS Observations and Global Ionosphere Maps , 2014 .

[16]  Chung-Yen Kuo,et al.  High-Frequency Sea Level Variations Observed by GPS Buoys Using Precise Point Positioning Technique , 2012 .

[17]  ElsobeieyMohamed,et al.  Performance of real-time Precise Point Positioning using IGS real-time service , 2016 .

[18]  J. Zumberge,et al.  Precise point positioning for the efficient and robust analysis of GPS data from large networks , 1997 .

[19]  Marcio Aquino,et al.  RINEX_HO: second- and third-order ionospheric corrections for RINEX observation files , 2011, GPS Solutions.

[20]  Zhang Baocheng,et al.  Extraction of line-of-sight ionospheric observables from GPS data using precise point positioning , 2012 .

[21]  Sandro M. Radicella,et al.  Calibration errors on experimental slant total electron content (TEC) determined with GPS , 2007 .

[22]  P. Teunissen Zero Order Design: Generalized Inverses, Adjustment, the Datum Problem and S-Transformations , 1985 .

[23]  Pierre Héroux,et al.  Precise Point Positioning Using IGS Orbit and Clock Products , 2001, GPS Solutions.

[24]  Sunil Bisnath,et al.  Current State of Precise Point Positioning and Future Prospects and Limitations , 2009 .

[25]  Peter Teunissen,et al.  Review and principles of PPP-RTK methods , 2015, Journal of Geodesy.

[26]  Harald Schuh,et al.  Multi-GNSS Meteorology: Real-Time Retrieving of Atmospheric Water Vapor From BeiDou, Galileo, GLONASS, and GPS Observations , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Yidong Lou,et al.  BeiDou phase bias estimation and its application in precise point positioning with triple-frequency observable , 2015, Journal of Geodesy.

[28]  Joachim Feltens,et al.  The activities of the Ionosphere Working Group of the International GPS Service (IGS) , 2003 .

[29]  S. Schaer Mapping and predicting the Earth's ionosphere using the Global Positioning System. , 1999 .

[30]  Charles Wang,et al.  Multi-GNSS precise point positioning with raw single-frequency and dual-frequency measurement models , 2016, GPS Solutions.

[31]  G. V. Haines Computer programs for spherical cap harmonic analysis of potential and general fields , 1988 .

[32]  Manuel Hernández-Pajares,et al.  The ionosphere: effects, GPS modeling and the benefits for space geodetic techniques , 2011 .

[33]  Xingxing Li,et al.  Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo , 2015, Journal of Geodesy.

[34]  Baocheng Zhang,et al.  Extraction of line-of-sight ionospheric observables from GPS data using precise point positioning , 2012, Science China Earth Sciences.

[35]  Norbert Jakowski,et al.  Comparative testing of four ionospheric models driven with GPS measurements , 2011 .

[36]  J. Tegedor,et al.  Triple carrier precise point positioning (PPP) using GPS L5 , 2014 .

[37]  O. Colombo Real-Time, Wide-Area, Precise Kinematic Positioning Using Data from Internet NTRIP Streams , 2008 .

[38]  Ningbo Wang,et al.  SHPTS: towards a new method for generating precise global ionospheric TEC map based on spherical harmonic and generalized trigonometric series functions , 2015, Journal of Geodesy.

[39]  P. Defraigne,et al.  GLONASS and GPS PPP for Time and Frequency Transfer , 2007, 2007 IEEE International Frequency Control Symposium Joint with the 21st European Frequency and Time Forum.