Abstract

It is widely known that in real-time kinematic (RTK) solution, the convergence and ambiguity-fixed speeds are critical requirements to achieve centimeter-level positioning, especially in medium-to-long baselines. Recently, the current status of the global navigation satellite systems (GNSS) can be improved by employing low earth orbit (LEO) satellites. In this study, an initial assessment is applied for LEO constellations augmented GNSS RTK positioning, where four designed LEO constellations with different satellite numbers, as well as the nominal GPS constellation, are simulated and adopted for analysis. In terms of aforementioned constellations solutions, the statistical results of a 68.7-km baseline show that when introducing 60, 96, 192, and 288 polar-orbiting LEO constellations, the RTK convergence time can be shortened from 4.94 to 2.73, 1.47, 0.92, and 0.73 min, respectively. In addition, the average time to first fix (TTFF) can be decreased from 7.28 to 3.33, 2.38, 1.22, and 0.87 min, respectively. Meanwhile, further improvements could be satisfied in several elements such as corresponding fixing ratio, number of visible satellites, position dilution of precision (PDOP) and baseline solution precision. Furthermore, the performance of the combined GPS/LEO RTK is evaluated over various-length baselines, based on convergence time and TTFF. The research findings show that the medium-to-long baseline schemes confirm that LEO satellites do helpfully obtain faster convergence and fixing, especially in the case of long baselines, using large LEO constellations, subsequently, the average TTFF for long baselines has a substantial shortened about 90%, in other words from 12 to 2 min approximately by combining with the larger LEO constellation of 192 or 288 satellites. It is interesting to denote that similar improvements can be observed from the convergence time.

Highlights

  • With the fast development and widespread application of global navigation satellite system (GNSS), the demands of spatiotemporal information have already been changed from static to dynamic position, post to real-time process, and low to high precision

  • Aiming at investigating the performance of low earth orbit (LEO) constellations augmented GNSS real-time kinematic (RTK) positioning, four kinds of LEO constellations with different satellite numbers and the nominal GPS constellation were adopted for analysis in this study

  • Based on the simulated GPS+LEO pseudorange and carrier-phase observations at the ground tracking stations, the augmentation performances of the single-baseline RTK solutions were comprehensively evaluated from the aspects of average convergence time, time to first fix (TTFF), fixing ratio, visible satellite number, position dilution of precision (PDOP) value, and baseline solutFioignuprere9c.isTihoens. olid lines describe the average convergence time and TTFF of five medium-baseline

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Summary

Introduction

With the fast development and widespread application of global navigation satellite system (GNSS), the demands of spatiotemporal information have already been changed from static to dynamic position, post to real-time process, and low to high precision. Thanks to the appearance and development of low earth orbit (LEO) constellation with the orbit altitudes between 400 and 1500 km, which can provide much stronger signals against spoofing and jamming, as well as much faster movement speeds to improve satellites geometric distribution, compared with GNSS satellites [14,15] It will be an alternative or a complement for existing solutions to enhance the RTK positioning and navigation performance by combining GNSS and LEO satellites. We focus on single-baseline RTK results using four kinds of LEO constellations in combination with GPS, all of which are based on the simulated pseudorange and carrier phase observations at ground tracking stations.

Methods
Data Simulation
Situation and Strategy
Constellation Configuration
Data Processing Strategy
Performance of Different LEO Constellations Augmented GPS RTK
Conclusions
Full Text
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