Stochastic modeling of between-receiver single-differenced ionospheric delays and its application to medium baseline RTK positioning

[1]  Robert Odolinski,et al.  Combined BDS, Galileo, QZSS and GPS single-frequency RTK , 2014, GPS Solutions.

[2]  Xianglin Liu,et al.  Modelling of differential single difference receiver clock bias for precise positioning , 2004 .

[3]  Jinling Wang,et al.  Stochastic Ionosphere Models for Precise GNSS Positioning: Sensitivity Analysis , 2013 .

[4]  Dennis Odijk Improving ambiguity resolution by applying ionosphere corrections from a permanent GPS array , 2000 .

[5]  Chris Rizos,et al.  Stochastic assessment of GPS carrier phase measurements for precise static relative positioning , 2002 .

[6]  C. Tiberius,et al.  ESTIMATION OF THE STOCHASTIC MODEL FOR GPS CODE AND PHASE OBSERVABLES , 2000 .

[7]  Lambert Wanninger,et al.  Virtual Reference Stations for Centimeter-Level Kinematic Positioning , 2002 .

[8]  Ningbo Wang,et al.  Improvement of Klobuchar model for GNSS single-frequency ionospheric delay corrections , 2016 .

[9]  Baocheng Zhang,et al.  Zero-baseline Analysis of GPS/BeiDou/Galileo Between-Receiver Differential Code Biases (BR-DCBs): Time-wise Retrieval and Preliminary Characterization , 2016 .

[10]  H. Schuh,et al.  Short Note: A global model of pressure and temperature for geodetic applications , 2007 .

[11]  Peter Teunissen,et al.  The Ionosphere-weighted GPS baseline precision in canonical form , 1998 .

[12]  P. Teunissen,et al.  Least-squares variance component estimation , 2008 .

[13]  P. Teunissen An optimality property of the integer least-squares estimator , 1999 .

[14]  Pawel Wielgosz,et al.  An analysis of the effects of different network-based ionosphere stimation models on rover positioning accuracy , 2004 .

[15]  Christian Tiberius,et al.  VARIANCE COMPONENT ESTIMATION AND PRECISE GPS POSITIONING: CASE STUDY , 2003 .

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

[17]  Chris Rizos,et al.  Variance-covariance estimation of GPS Networks , 1994 .

[18]  Dennis Odijk,et al.  Weighting Ionospheric Corrections to Improve Fast GPS Positioning Over Medium Distances , 2000 .

[19]  Peiliang Xu,et al.  Assessment of stochastic models for GPS measurements with different types of receivers , 2008 .

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

[21]  Baocheng Zhang,et al.  PPP-RTK: Results of CORS Network-Based PPP with Integer Ambiguity Resolution , 2010 .

[22]  S. Jazaeri,et al.  Weighted total least squares formulated by standard least squares theory , 2012 .

[23]  P. Teunissen The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation , 1995 .

[24]  Bofeng Li,et al.  Three carrier ambiguity resolution: distance-independent performance demonstrated using semi-generated triple frequency GPS signals , 2010 .

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

[26]  Dennis Odijk,et al.  Stochastic modelling of the ionosphere for fast GPS ambiguity resolution , 2000 .

[27]  Bofeng Li,et al.  Efficient Approximation for a Fully Populated Variance-Covariance Matrix in RTK Positioning , 2018, Journal of Surveying Engineering.

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

[29]  A. Amiri-Simkooei Application of least squares variance component estimation to errors-in-variables models , 2013, Journal of Geodesy.

[30]  Hans-Jürgen Euler,et al.  Improvement of Positioning Performance Using Standardized Network RTK Messages , 2004 .

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

[32]  Peter Teunissen,et al.  Characterization of multi-GNSS between-receiver differential code biases using zero and short baselines , 2015 .

[33]  N. Crocetto,et al.  Simplified formulae for the BIQUE estimation of variance components in disjunctive observation groups , 2000 .

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

[35]  Peter Teunissen,et al.  Distributional theory for the DIA method , 2017, Journal of Geodesy.

[36]  J. Grodecki,et al.  Generalized maximum-likelihood estimation of variance–covariance components with non-informative prior , 2001 .

[37]  G. Lachapelle,et al.  Improved Triple-Frequency GPS/GALILEO Carrier Phase Ambiguity Resolution Using a Stochastic Ionosphere Modeling , 2004 .

[38]  AliReza Amiri-Simkooei,et al.  Least-squares variance component estimation: theory and GPS applications , 2007 .

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

[40]  J. Saastamoinen,et al.  Contributions to the theory of atmospheric refraction , 1972 .

[41]  Peiliang Xu,et al.  Variance Component Estimation in Linear Inverse Ill-posed Models , 2006 .