Ionospheric STEC and VTEC Constraints for Fast PPP

Significant initialization or convergence time of PPP is a limiting factor for many applications. Recent studies have indicated that external ionospheric information can be applied to provide a tight constraint to reduce the correlation between the position parameters and the ionosphere to shorten PPP long convergence time. However, receiver DCB is one challenge to separate from STEC. Receiver DCB is often neglected and taken for granted that it can be absorbed by the receiver clock parameter. In this paper, we critiqued the ionospheric STEC and VTEC constrained PPP models separating receiver DCB by taking advantage of the ionospheric information from a nearby station and GIM products. The results show that the improvements of positioning accuracy for ionospheric STEC and VTEC constrained PPP models are about 67 and 26% after a convergence time of 1 min. The convergence time is significantly reduced with the ionospheric constraints from a nearby station, while the performance of convergence time with GIM depends on the quality of GIM.

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

[2]  Xingxing Li,et al.  Improving Real-time PPP Ambiguity Resolution with Ionospheric Characteristic Consideration , 2012 .

[3]  Yidong Lou,et al.  An improved approach to model ionospheric delays for single-frequency Precise Point Positioning , 2012 .

[4]  Yang Gao,et al.  Improving Ambiguity Convergence in Carrier Phase-Based Precise Point Positioning , 2001 .

[5]  D. Odijk Fast precise GPS positioning in the presence of ionospheric delays , 2002 .

[6]  Guillermo Gonzalez-Casado,et al.  A Worldwide Ionospheric Model for Fast Precise Point Positioning , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Y. Bar-Sever,et al.  Estimating horizontal gradients of tropospheric path delay with a single GPS receiver , 1998 .

[8]  Ningbo Wang,et al.  Analysis and validation of different global ionospheric maps (GIMs) over China , 2015 .

[9]  Yan Xiang DCB Estimation Based on Uncombined PPP , 2016 .

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

[11]  George Chia Liu Ionosphere weighted global positioning system carrier phase ambiguity resolution , 2001 .

[12]  Xiaohong Zhang,et al.  Regional reference network augmented precise point positioning for instantaneous ambiguity resolution , 2011 .

[13]  J. Geng Rapid integer ambiguity resolution in GPS precise point positioning , 2011 .

[14]  Maorong Ge,et al.  The realization and convergence analysis of combined PPP based on raw observation , 2013 .

[15]  Ling Huang,et al.  On the Convergence of Ionospheric Constrained Precise Point Positioning (IC-PPP) Based on Undifferential Uncombined Raw GNSS Observations , 2013, Sensors.

[16]  Jan Kouba,et al.  A simplified yaw-attitude model for eclipsing GPS satellites , 2009 .

[17]  L. Mervart,et al.  Bernese GPS Software Version 5.0 , 2007 .

[18]  Yang Gao,et al.  Performance Analysis of Precise Point Positioning Using Rea-Time Orbit and Clock Products , 2004 .

[19]  Kevin Dixon,et al.  StarFire: A Global SBAS for Sub-Decimeter Precise Point Positioning , 2006 .

[20]  Yang Gao,et al.  Improved PPP Ambiguity Resolution Considering the Stochastic Characteristics of Atmospheric Corrections from Regional Networks , 2015, Sensors.

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

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

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

[24]  F. N. Teferle,et al.  Integer ambiguity resolution in precise point positioning: method comparison , 2010 .