Abstract

The Japanese Quasi-Zenith Satellite System (QZSS) satellite system has placed in orbit four satellites by October 2017. The Indian Regional Navigation Satellite System (IRNSS) system has launched the new satellite IRNNSS-11 in April 2018, completing seven operational satellites. Together with the GPS block IIF satellites and the Galileo satellites, four different global navigation satellite systems (GNSSs) are providing precise L5 signals on the frequency of 1176.45 MHz. In this contribution, we challenge the strength of the multi-GNSS model by analysing its single-frequency (L5), single-epoch (instantaneous) precise positioning capabilities under high-elevation masking (up to 40 degrees). With more satellites available, multi-GNSS real time kinematic (RTK) positioning is possible using L5-only signals with a high customary elevation mask. This helps to enable positioning in areas with constrained measurement geometry, and could significantly reduce the multipath effects in difficult measurement environments like urban canyons and mountainous areas. In this study, benefiting from the location of the Asia–Australia area, instantaneous multi-GNSS L5 RTK analysis is performed with respect to the ambiguity resolution and positioning performance. Formal results are shown and discussed for baselines located in different grids covering Australia, part of the Pacific Ocean, Indian Ocean and Asia, and empirical analysis is given for two baselines in Perth, Australia. Compared to the stand-alone cases, for baselines in Perth, it is shown that combining L5 signals from GPS/Galileo/QZSS/IRNSS significantly improves both the ambiguity success rates (ASR) and the positioning performance under high elevation mask. While the average single-system ASR is under 50% even with a low elevation mask of 10 degrees, combining all the four systems increases the ASR to above 95% under an elevation cut-off angles of 40 degrees. With an elevation mask of 40 degrees, using satellites from one system does not allow for meaningful positioning solutions of more than 8 h within the test day, while mm-to-cm level ambiguity-fixed standard deviations could be obtained based on the positioning results of almost the entire day when combining all the four systems. In addition to that, simulation was also performed for receivers with larger signal standard deviations, i.e., for low-cost receivers or receivers located in environments with larger multipath.

Highlights

  • In April 2018, the Indian Regional Navigation Satellite System (IRNSS) launched the satelliteIRNSS-1I to replace its first satellite IRNSS-1A with failed on-board atomic clocks [1,2]

  • Investigations were performed for L5-only single-epoch multi-global navigation satellite systems (GNSSs) real time kinematic (RTK) positioning under different elevation masks

  • It is verified that combining satellites from current constellations of GPS IIF, Galileo, IRNSS and Quasi-Zenith Satellite System (QZSS) allows L5 instantaneous RTK

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Summary

Introduction

In April 2018, the Indian Regional Navigation Satellite System (IRNSS) launched the satellite. As pointed out by [16,19], combining satellite systems is essential to improve the ambiguity resolution and positioning performance for high-elevation masked instantaneous RTK. The instantaneous, single-frequency multi-GNSS RTK performances with the four-system common frequency of IRNSS, QZSS, GPS and Galileo for different elevation masks has not yet been investigated. To the robustness against elevation-masking, our emphasis is hereby on instantaneous as this is under the given circumstances the most challenging case, with the important additional advantage that the positioning results will be immune for carrier-phase cycle slips In this contribution, we first perform formal analysis for a large area covering Australia, part of the Indian Ocean, Pacific Ocean and Asia. A summary with conclusions is provided in the last section

Processing Strategy
Measurement Setup and Signal Analysis
Formal Analysis
Ambiguity Resolution
Positioning Performance
Real Data Analysis
Receivers with Larger Signal Standard Deviations
Findings
Conclusions
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