A Refined Metric for Multi-GNSS Constellation Availability Assessment in Polar Regions

Abstract Human activity in the polar regions is increasing, and as a result of this, the positioning performance of global navigation satellite systems (GNSSs) in these regions is attracting more attention. Since the constellation design of GNSS systems (such as GPS, GLONASS, Galileo, and BDS) only provides superior coverage for human activity in the middle and low latitudes, the elevation angles of GNSS satellites are lower in the polar regions. In this study, the authors first analyzed the availability of GPS, GLONASS, Galileo, and BDS in the polar regions using the classic geometric dilution of precision (GDOP) metric. It was discovered that if only a stand-alone navigation system is employed, satellite visibility in the Arctic and Antarctic regions is excellent, but the GDOP is much higher than in the middle and low latitudes areas. Another interesting phenomenon is that a single navigation system other than GPS (i.e., GLONASS, Galileo, or BDS) will have some areas that cannot be located in the middle and low latitudes and will not appear in the polar regions. A simple solution of this problem is to combine multiple navigation systems to attain better GDOP. In reality, there are currently few achievable or practical solutions for the weight ratio of different satellites in the actual multi-system combined GDOP algorithm. Based on the signal-in-space analysis of different GNSS satellites, the authors propose a NEW WDOP metric for the spatial constellation configuration of multi-GNSSs, including detailed mathematical models and algorithms. The NEW WDOP metric was then used to assess the availability of multi-GNSSs in the polar regions with dual-system, three-system, and four-system combinations. This study thus draws some conclusions using the NEW WDOP model and measured data. In particular, when navigating and positioning in polar regions with a stand-alone GNSS, the mean of the NEW WDOP values is approximately 2.5, and there are many outlier values. Meanwhile, the mean of the NEW WDOP values with the dual GNSS combinations is

[1]  Peter Steigenberger,et al.  The Multi-GNSS Experiment (MGEX) of the International GNSS Service (IGS) - Achievements, prospects and challenges , 2017 .

[2]  Peter Teunissen,et al.  The ADOP and PDOP: Two Complementary Diagnostics for GNSS Positioning , 2020 .

[3]  Yunlong Teng,et al.  New Characteristics of Geometric Dilution of Precision (GDOP) for Multi-GNSS Constellations , 2014, Journal of Navigation.

[4]  Peter Teunissen,et al.  A canonical theory for short GPS baselines. Part II: the ambiguity precision and correlation , 1997 .

[5]  David Akopian,et al.  Weighted dilution of precision as quality measure in satellite positioning , 2003 .

[6]  Daniele Borio,et al.  A Galileo IOV assessment: measurement and position domain , 2014, GPS Solutions.

[7]  R. Yarlagadda,et al.  GPS GDOP metric , 2000 .

[8]  O. Montenbruck,et al.  Springer Handbook of Global Navigation Satellite Systems , 2017 .

[9]  Safoora Zaminpardaz,et al.  GLONASS CDMA L3 ambiguity resolution and positioning , 2017, GPS Solutions.

[10]  Chien-Sheng Chen,et al.  Weighted Geometric Dilution of Precision Calculations with Matrix Multiplication , 2015, Sensors.

[11]  Junyi Xu,et al.  Generalised DOPs with Consideration of the Influence Function of Signal-in-Space Errors , 2011, Journal of Navigation.

[12]  Alan H. Phillips GEOMETRICAL DETERMINATION OF PDOP , 1984 .

[13]  Per Enge,et al.  GNSS Integrity in The Arctic: GNSS Integrity in The Arctic , 2016 .

[14]  Peter Teunissen,et al.  GLONASS ambiguity resolution , 2019, GPS Solutions.

[15]  Junping Chen,et al.  Performance of BDS-3: satellite visibility and dilution of precision , 2019, GPS Solutions.

[16]  E. Sardón,et al.  Preliminary evaluation of the Russian GLONASS system as a potential geodetic tool , 1998 .

[17]  John W. Betz,et al.  Engineering Satellite-Based Navigation and Timing: Global Navigation Satellite Systems, Signals, and Receivers , 2015 .

[18]  Peter Teunissen,et al.  A proof of Nielsen's conjecture on the GPS dilution of precision , 1998 .

[19]  Joseph Hamman,et al.  Development of the Regional Arctic System Model (RASM): Near-Surface Atmospheric Climate Sensitivity , 2017 .

[20]  Peter Steigenberger,et al.  Multi-GNSS signal-in-space range error assessment – Methodology and results , 2018, Advances in Space Research.

[21]  Jinling Wang,et al.  Advanced receiver autonomous integrity monitoring (ARAIM) schemes with GNSS time offsets , 2013 .

[22]  Yuanxi Yang,et al.  Contribution of the Compass satellite navigation system to global PNT users , 2011 .

[23]  Jinling Wang,et al.  New characteristics of weighted GDOP in multi-GNSS positioning , 2018, GPS Solutions.