Investigation of some selected strategies for multi-GNSS instantaneous RTK positioning

Abstract It is clear that we can benefit from multi-constellation GNSS in precise relative positioning. On the other hand, it is still an open problem how to combine multi-GNSS signals in a single functional model. This study presents methodology and quality assessment of selected methods allowing for multi-GNSS observations combining in relative kinematic positioning using baselines up to tens of kilometers. In specific, this paper characterizes loose and tight integration strategies applied to the ionosphere and troposphere weighted model. Performance assessment of the established strategies was based on the analyses of the integer ambiguity resolution and rover coordinates’ repeatability obtained in the medium range instantaneous RTK positioning with the use of full constellation dual frequency GPS and Galileo signals. Since full constellation of Galileo satellites is not yet available, the observational data were obtained from a hardware GNSS signal simulator using regular geodetic GNSS receivers. The results indicate on similar and high performance of the loose, and tight integration with calibrated receiver ISBs strategies. These approaches have undeniable advantage over single system positioning in terms of reliability of the integer ambiguity resolution as well as rover coordinate repeatability.

[1]  Slawomir Cellmer FAST AND PRECISE POSITIONING USING MAFA METHOD AND NEW GPS AND GALILEO SIGNALS , 2013 .

[2]  Xingfu Zhang,et al.  Three frequency GNSS navigation prospect demonstrated with semi-simulated data , 2013 .

[3]  Robert Odolinski,et al.  Combined GPS+BDS+Galileo+QZSS for long baseline RTK positioning , 2014 .

[4]  Alex Parkins,et al.  Increasing GNSS RTK availability with a new single-epoch batch partial ambiguity resolution algorithm , 2011 .

[5]  Charles C. Counselman,et al.  Interferometric analysis of GPS phase observations , 1986 .

[6]  P. Teunissen The geometry-free GPS ambiguity search space with a weighted ionosphere , 1997 .

[7]  Haibo He,et al.  GNSS multi-carrier fast partial ambiguity resolution strategy tested with real BDS/GPS dual- and triple-frequency observations , 2013, GPS Solutions.

[8]  Chengfa Gao,et al.  A method of GPS/BDS/GLONASS combined RTK positioning for middle-long baseline with partial ambiguity resolution , 2017 .

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

[10]  P. Teunissen,et al.  Combined GPS + BDS for short to long baseline RTK positioning , 2015 .

[11]  Alessandro Caporali,et al.  An analysis of intersystem biases for multi-GNSS positioning , 2015, GPS Solutions.

[12]  Daniele Borio,et al.  Identifying a low-frequency oscillation in Galileo IOV pseudorange rates , 2016, GPS Solutions.

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

[14]  X. Chang,et al.  MLAMBDA: a modified LAMBDA method for integer least-squares estimation , 2005 .

[15]  Xiaohong Zhang,et al.  Performance analysis of triple-frequency ambiguity resolution with BeiDou observations , 2016, GPS Solutions.

[16]  Xiaoqing Pi,et al.  A performance evaluation of the operational Jet Propulsion Laboratory/University of Southern California Global Assimilation Ionospheric Model (JPL/USC GAIM) , 2005 .

[17]  Yuanxi Yang,et al.  Performance assessment of single- and dual-frequency BeiDou/GPS single-epoch kinematic positioning , 2014, GPS Solutions.

[18]  Pawel Wielgosz,et al.  Accounting for Galileo–GPS inter-system biases in precise satellite positioning , 2014, Journal of Geodesy.

[19]  Wu Chen,et al.  An improved cascading ambiguity resolution (CAR) method with Galileo multiple frequencies , 2013 .

[20]  Oliver Montenbruck,et al.  Characterization of GPS/GIOVE sensor stations in the CONGO network , 2011 .

[21]  Jacek Paziewski,et al.  Study on desirable ionospheric corrections accuracy for network-RTK positioning and its impact on time-to-fix and probability of successful single-epoch ambiguity resolution , 2016 .

[22]  M. Elizabeth Cannon,et al.  Partial Ambiguity Fixing within Multiple Frequencies and Systems , 2007 .

[23]  Peter Steigenberger,et al.  Initial assessment of the COMPASS/BeiDou-2 regional navigation satellite system , 2013, GPS Solutions.

[24]  Yan Xu,et al.  GPS: Theory, Algorithms and Applications , 2003 .

[25]  D. Grejner-Brzezinska,et al.  Analysis of long-range network RTK during a severe ionospheric storm , 2005 .

[26]  Dennis Odijk,et al.  Galileo IOV RTK positioning: standalone and combined with GPS , 2014 .

[27]  Rafal Sieradzki,et al.  Study on reliable GNSS positioning with intense TEC fluctuations at high latitudes , 2016, GPS Solutions.

[28]  Jacek Paziewski,et al.  APPLICATION OF SBAS PSEUDORANGE AND CARRIER PHASE SIGNALS TO PRECISE INSTANTANEOUS SINGLE-FREQUENCY POSITIONING , 2013 .

[29]  Robert Odolinski,et al.  Instantaneous BeiDou+GPS RTK positioning with high cut-off elevation angles , 2014, Journal of Geodesy.

[30]  Jacek Paziewski Precise GNSS single epoch positioning with multiple receiver configuration for medium-length baselines: methodology and performance analysis , 2015 .

[31]  Zhigang Hu,et al.  Precise relative positioning using real tracking data from COMPASS GEO and IGSO satellites , 2012, GPS Solutions.

[32]  Peter Teunissen,et al.  GPS, Galileo, QZSS and IRNSS differential ISBs: estimation and application , 2017, GPS Solutions.

[33]  Jingnan Liu,et al.  Reliable single-epoch ambiguity resolution for short baselines using combined GPS/BeiDou system , 2014, GPS Solutions.

[34]  M. Cannon,et al.  Evaluation of Compass Ambiguity Resolution Performance Using Geometric-Based Techniques with Comparison to GPS and Galileo , 2008 .

[35]  Pawel Wielgosz,et al.  Assessment of GPS + Galileo and multi-frequency Galileo single-epoch precise positioning with network corrections , 2014, GPS Solutions.

[36]  Pawel Wielgosz,et al.  Selected properties of GPS and Galileo-IOV receiver intersystem biases in multi-GNSS data processing , 2015 .

[37]  H. Schuh,et al.  Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data , 2006 .

[38]  Yehuda Bock,et al.  A unified scheme for processing GPS dual-band phase observations , 1988 .

[39]  Peter Teunissen,et al.  Characterization of between-receiver GPS-Galileo inter-system biases and their effect on mixed ambiguity resolution , 2013, GPS Solutions.

[40]  Pawel Wielgosz,et al.  The impact of the ionospheric correction latency on long-baseline instantaneous kinematic GPS positioning , 2007 .

[41]  Oliver Montenbruck,et al.  High-rate clock variations of the Galileo IOV-1/2 satellites and their impact on carrier tracking by geodetic receivers , 2015, GPS Solutions.

[42]  Pawel Wielgosz,et al.  Quality assessment of GPS rapid static positioning with weighted ionospheric parameters in generalized least squares , 2011 .

[43]  Olivier Julien,et al.  Investigation of Combined GPS/GALILEO Cascading Ambiguity Resolution Schemes , 2003 .

[44]  Yehuda Bock,et al.  Instantaneous geodetic positioning at medium distances with the Global Positioning System , 2000 .