A GPS relative positioning quality control algorithm considering both code and phase observation errors

AbstractGPS relative positioning performance highly relies on the quality control algorithm. Previous efforts were mainly made with emphasis on the phase cycle slip detection in the preprocessing stage and the posterior residual check to re-weight observations. Very limited work focused on the code observation error and its effect on GPS relative positioning. This paper proposes a GPS relative positioning quality control algorithm that considers both code and phase errors of dual-frequency observations for geodetic and navigation receivers. In addition to the phase cycle slip detection in the preprocessing stage, a posterior code residual check is developed that has priority over the posterior phase residual check. If the posterior code residual check fails, no posterior phase residual check is needed. In this sense, the effect of code observation error on the phase ambiguity estimation and subsequently high-precision positioning can be investigated. Three dedicated static and kinematic experiments were carried out to assess the proposed method in terms of the ambiguity and positioning solutions, respectively. As for Experiment #1 under good observation environment, the proposed method provided a similar performance as the conventional method not taking the code observation error into account. However, Experiment #2 characterized by the tree-surrounded observation environment and Experiment #3 for kinematic positioning above the lake surface indicated that the proposed method could provide significant improvements over the conventional method. The ignorance of code observation error would deteriorate the phase ambiguity estimation and subsequently lead to worse positioning convergence and precision.

[1]  Miaomiao Cai,et al.  Mitigation of multipath effect in GNSS short baseline positioning by the multipath hemispherical map , 2016, Journal of Geodesy.

[2]  L. Sjöberg,et al.  Rapid GPS ambiguity resolution for short and long baselines , 2002 .

[3]  Long Zhao,et al.  An Improved Robust Adaptive Kalman Filter for GNSS Precise Point Positioning , 2018, IEEE Sensors Journal.

[4]  Wujiao Dai,et al.  Cycle slip detection and repair for undifferenced GPS observations under high ionospheric activity , 2013, GPS Solutions.

[5]  Richard B. Langley,et al.  Mitigating the impact of ionospheric cycle slips in GNSS observations , 2013, Journal of Geodesy.

[6]  Yang Gao,et al.  Real-time carrier phase multipath detection based on dual-frequency C/N0 data , 2018, GPS Solutions.

[7]  Tianhe Xu,et al.  Robust Estimation of Variance Components with Application in Global Positioning System Network Adjustment , 2005 .

[8]  Xiaohong Zhang,et al.  Adaptive robust Kalman filtering for precise point positioning , 2014 .

[9]  P. Cheng,et al.  Remarks on Doppler-aided smoothing of code ranges , 1999 .

[10]  D. Tatarnikov,et al.  Approaching Millimeter Accuracy of GNSS Positioning in Real Time with Large Impedance Ground Plane Antennas , 2014 .

[11]  S. Schön,et al.  GPS code phase variations (CPV) for GNSS receiver antennas and their effect on geodetic parameters and ambiguity resolution , 2017, Journal of Geodesy.

[12]  Juan Blanch,et al.  Baseline advanced RAIM user algorithm and possible improvements , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[13]  Qiang Wu,et al.  A new multipath mitigation method based on adaptive thresholding wavelet denoising and double reference shift strategy , 2018, GPS Solutions.

[14]  Geoffrey Blewitt,et al.  An Automatic Editing Algorithm for GPS data , 1990 .

[15]  Gui Qingming,et al.  Bayesian methods for outliers detection in GNSS time series , 2013, Journal of Geodesy.

[16]  Y. Miao,et al.  Error Analysis and Cycle-Slip Detection Research on Satellite-Borne GPS Observation , 2011 .

[17]  Bradford W. Parkinson,et al.  Autonomous GPS Integrity Monitoring Using the Pseudorange Residual , 1988 .

[18]  Zhizhao Liu,et al.  A new automated cycle slip detection and repair method for a single dual-frequency GPS receiver , 2011 .

[19]  Tianhe Xu,et al.  Robust estimator for correlated observations based on bifactor equivalent weights , 2002 .

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

[21]  W. Baarda,et al.  A testing procedure for use in geodetic networks. , 1968 .

[22]  Theory and method of hypothetical test for nonparameters in linear semiparametric model , 2017 .

[23]  Wenkun Yu,et al.  Systematic error mitigation in multi-GNSS positioning based on semiparametric estimation , 2017, Journal of Geodesy.

[24]  M. C. Lacy,et al.  The Bayesian detection of discontinuities in a polynomial regression and its application to the cycle-slip problem , 2008 .

[25]  Xiaohong Zhang,et al.  An improved robust Kalman filtering strategy for GNSS kinematic positioning considering small cycle slips , 2017 .

[26]  Dmitry Tatarnikov,et al.  Moderately compact helix antennas with cutoff patterns for millimeter RTK positioning , 2016, GPS Solutions.

[27]  P.J.G. Teunissen,et al.  Quality control in integrated navigation systems , 1990, IEEE Aerospace and Electronic Systems Magazine.