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Journal ArticleDOI

The Multi-GNSS Experiment (MGEX) of the International GNSS Service (IGS) - Achievements, prospects and challenges

TLDR
The status and tracking capabilities of the IGS monitoring station network are presented and the multi-GNSS products derived from this resource are discussed and the achieved performance is assessed and related to the current level of space segment and user equipment characterization.
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This article is published in Advances in Space Research.The article was published on 2017-04-01. It has received 645 citations till now. The article focuses on the topics: GNSS applications & Galileo (satellite navigation).

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Citations
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Journal ArticleDOI

Research of Eliminating the Day-Boundary Discontinuities in GNSS Carrier Phase Time Transfer through Network Processing

TL;DR: The accuracy of time transfer has been significantly improved, and the frequency stability of UTC(NTSC)-UTC(PTB) can be up to 6.8 × 10−15 on average time of more than one day, which is suitable for continuous multi-GNSS time transfer, especially for long-term clock stability comparison.
Journal ArticleDOI

Autonomous clock ensemble algorithm for GNSS applications

TL;DR: The US Naval Research Laboratory (NRL) developed clock ensembles for a number of vital GNSS projects and services throughout the US and international community Some efforts include algorithms for local realization of Coordinated Universal Time; participation in the upgrade of the Global Positioning System (GPS) system time; the initial implementation of a coherent geophysical reference time known as IGS Time (IGST); and development of various Department of Defense capabilities for the dissemination and transfer of precise time as mentioned in this paper.
Proceedings ArticleDOI

Dynamic Obstacle Tracking Based On High-Definition Map In Urban Scene

TL;DR: A new Multi-camera Lidar Point Cloud Map is put forward, which can effectively complete the special problem of generating map and target tracking on urban scene and finds a robust combination of traditional kalman filter, Hungary algorithm and current deep learning to solve dynamic obstacle tracking and detection.
Proceedings ArticleDOI

Influence of Receiver Clock Modeling in GNSS-based Flight Navigation: Concepts and Experimental Results

TL;DR: Experimental results demonstrate that the precision in the height component is improved by about 65% using GPS and Galileo P-code observations with RCM applied compared to a positioning solution without applying RCM.
References
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Journal ArticleDOI

Modelling the global ocean tides: modern insights from FES2004

TL;DR: A review of the state-of-the-art in the field of finite element solutions (FES) atlases can be found in this paper, where the authors introduce the FES2004 tidal atlas and validate the model against in situ and satellite data.
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The International GNSS Service in a changing landscape of Global Navigation Satellite Systems

TL;DR: The IGS Strategic Plan and future directions of the globally-coordinated ~400 station IGS network, tracking data and information products, and outlines the scope of a few of its numerous working groups and pilot projects as the world anticipates a truly multi-system GNSS in the coming decade are discussed.
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Precise Point Positioning Using IGS Orbit and Clock Products

TL;DR: This paper will describe the approach, summarize the adjustment procedure, and specify the earth- and space-based models that must be implemented to achieve cm-level positioning in static mode and station tropospheric zenth path delays with cm precision.
Journal ArticleDOI

The IGS VTEC maps: a reliable source of ionospheric information since 1998

TL;DR: In this article, the IGS combined vertical total electron content (VTEC) maps were analyzed and the results confirmed the good performance of the combined VTEC maps, and the characteristic VTEC variability periods.
Journal ArticleDOI

The International Laser Ranging Service

TL;DR: The ILRS works with new satellite missions in the design and building of retroreflector targets to maximize data quality and quantity, and science programs to optimize scientific data yield.
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