Wide Area RTK: A satellite navigation system based on precise real‐time ionospheric modelling

[1] The Wide Area Real Time Kinematic (WARTK) is an augmentation system concept for multi-frequency users based on precise real-time ionospheric modeling. It is able to provide a high accuracy and integrity GNSS positioning service over continental areas using the infrastructure of a network of permanent ground monitor stations, such as the European Geostationary Navigation Overlay Service (EGNOS) network of Ranging and Integrity Monitoring Stations (RIMS) in Europe. In this way, it allows an additional benefit to be obtained from these reference stations, that is, the network has the potential to support two independent systems: a satellite-based augmentation system, such as EGNOS, and a high-precision positioning service, based on WARTK. Indeed, thanks to the accuracy of the ionospheric corrections provided, WARTK users have available in real-time an extra constraint per satellite between the carrier phase ambiguities, which helps solve them quickly. Once such ambiguities have been solved, the GNSS user obtains navigation accurate to within 20 cm at the 95th percentile (about 10 cm RMS). Moreover, this precise positioning is achieved in a few minutes (with two frequency signals) or in a single epoch, after initial convergence of the tropospheric delay (with three frequency signals), even up to hundreds of kilometers away from the nearest reference station. While previous WARTK research has been devoted to implementing the concept and assessing its feasibility, considering in particular the accuracy achievable, the work reported in this paper focused on consolidating the results by analyzing a large and representative data set, and on deeper analysis of the integrity issue. It was carried out in the context of the Multi-constellation Regional System (MRS) project, within the European Space Agency GNSS Evolution Programme, with the aim of designing a high accuracy service for GPS and/or Galileo. Three months of actual data, from more than 25 permanent GPS stations in Europe, have been processed (some of them as a roving user), for high-, mid- and low-solar cycle conditions (in 2002, 2004 and 2006 respectively). In addition, several ionospheric storms occurred during the selected periods, with Dst values reaching up to � 150 nT. Results based on these data show that user domain integrity was maintained for baselines of up to 400 km. At the 95th percentile, the daily horizontal and vertical position errors were 20 and 30 cm, respectively, and the corresponding protection levels were about 1 and 2 m. The convergence time was around 5 minutes with actual GPS constellation data. The benefits of using a multi-constellation system were also studied, with simulated GPS and three-frequency Galileo data, showing that it is possible to reduce the convergence time to a few seconds.

[1]  José Miguel Juan Zornoza,et al.  Nuevos avances en Wide Area: real time kinematic (WARTK) , 2008 .

[2]  Oscar L. Colombo,et al.  Precise Ionospheric Determination and its Application to Real-Time GPS Ambiguity Resolution , 1999 .

[3]  J. Sanz,et al.  Feasibility Study of a European Wide Area Real Time Kinematic System , .

[4]  Dennis Odijk,et al.  Wide-Area RTK , 2010 .

[5]  M. Hernández‐Pajares,et al.  Medium-scale traveling ionospheric disturbances affecting GPS measurements: Spatial and temporal analysis , 2006 .

[6]  Jaume Sanz,et al.  Improving the real-time ionospheric determination from GPS sites at very long distances over the equator , 2002 .

[7]  Pawel Wielgosz,et al.  The Impact of Severe Ionospheric Conditions on the Accuracy of Kinematic Position Estimation: Performance Analysis of Various Ionosphere Modeling Techniques , 2006 .

[8]  Jaume Sanz Subirana,et al.  Feasibility of wide-area subdecimeter navigation with GALILEO and Modernized GPS , 2003, IEEE Trans. Geosci. Remote. Sens..

[9]  Jaume Sanz,et al.  Resolving Carrier-Phase Ambiguities On The Fly, At More Than 100 km From Nearest Reference Site, With The Help Of Ionospheric Tomography , 1999 .

[10]  Jaume Sanz,et al.  Neural network modeling of the ionospheric electron content at global scale using GPS data , 1997 .

[11]  Jaume Sanz,et al.  A two‐layer model of the ionosphere using Global Positioning System data , 1997 .

[12]  Ljiljana R. Cander,et al.  Testing regional vertical total electron content maps over Europe during the 17–21 January 2005 sudden space weather event , 2007 .

[13]  Didier Flament.  EGNOS The European Geostationary Navigation Overlay System - A cornerstone of Galileo , 2007 .

[14]  Per K. Enge,et al.  Global positioning system: signals, measurements, and performance [Book Review] , 2002, IEEE Aerospace and Electronic Systems Magazine.

[15]  Gang Xie,et al.  Optimal on-airport monitoring of the integrity of GPS-based landing systems , 2004 .

[16]  L. M. Sherer,et al.  RADIO TECHNICAL COMMISSION FOR AERONAUTICS , 1947 .

[17]  Bodo W. Reinisch,et al.  International Reference Ionosphere 2000 , 2001 .

[18]  Jaume Sanz,et al.  Wide Area Real Time Kinematics with Galileo and GPS Signals , 2004 .

[19]  Jaume Sanz,et al.  The Stanford – ESA Integrity Diagram: A New Tool for The User Domain SBAS Integrity Assessment , 2007 .

[20]  Juan Blanch,et al.  Dst as an Indicator of Potential Threats to WAAS Integrity and Availability , 2005 .

[21]  Lambert Wanninger.  Ionospheric Disturbance Indices for RTK and Network RTK Positioning , 2004 .

[22]  P. Teunissen,et al.  Wide-Area RTK: high precision positioning on a continental scale , 2010 .