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Publication


Featured researches published by J. Geng.


Survey Review | 2010

Performance of Precise Point Positioning with Ambiguity Resolution for 1- to 4-Hour Observation Periods

J. Geng; Xiaolin Meng; Felix Norman Teferle; Alan Dodson

Abstract Recent progress in integer ambiguity resolution at a single station has made it possible to achieve high positioning accuracy in static precise point positioning (PPP) using a short period of observations. In this paper, 12 stations across Europe are used to conduct short-period (i.e. one, two, three and four hours) static PPP with ambiguity resolution from Day 245 to 251 in 2007. It is demonstrated that, when over three hours of observations are used, PPP can achieve a success rate of 100% for ambiguity resolution, a 3D positioning accuracy of about 1.0 cm and an occurrence of less than 1.0% for degraded solutions. Moreover, for the fixed solutions, increasing the observation period hardly improves the horizontal positioning accuracy while still improving the vertical one. Therefore, it is proposed that at least three hours of observations should be used in the ambiguity-fixed static PPP if a reliable millimetre positioning accuracy is required in the engineering applications.


international conference on intelligent transportation systems | 2008

Application of Real-Time Precise Point Positioning and GIS for Rail Track Deformation Monitoring of the Qinghai-Tibet Railway

R. Gao; Xiaolin Meng; J. Geng; Hai-Sui Yu; Lihua Xu

The Qinghai-Tibet railway is the highest railway in the world. The operational conditions of this railway are very harsh, such as occurrence of earthquake, potential melting of frozen soil, and severely cold and thin air. Real time monitoring the deformation of the railway system for maintaining safe operation has posed a big challenge. Extensive document review conducted by the authors reveals that the current monitoring systems do not include monitoring of the deformation of critical railway element - rail track. The authors propose in the paper a novel approach which could be implemented to conduct an automated, real time and cost-effective monitoring of whole rail track system. This new monitoring system consists of two sub-systems: a real-time rail track monitoring system with precise point positioning (PPP), and the geographical information system (GIS) to support the development, analysis and visualization of real-time spatial and attribute data sets. Details about the system integration are also presented in the paper. The approach will have general significance to the monitoring of any large civil engineering infrastructures.


Advances in Space Research | 2011

Towards PPP-RTK: Ambiguity resolution in real-time precise point positioning

J. Geng; Felix Norman Teferle; Xiaolin Meng; Alan Dodson


Gps Solutions | 2009

Ambiguity resolution in precise point positioning with hourly data

J. Geng; Felix Norman Teferle; Chuang Shi; Xiaolin Meng; Alan Dodson; Jingnan Liu


Gps Solutions | 2010

Kinematic precise point positioning at remote marine platforms

J. Geng; Felix Norman Teferle; Xiaolin Meng; Alan Dodson


Advances in Space Research | 2010

Seismic deformation of the Mw 8.0 Wenchuan earthquake from high-rate GPS observations

Chuang Shi; Yidong Lou; Hongping Zhang; Qingzhi Zhao; J. Geng; R. Wang; Rongxin Fang; Jingnan Liu


Archive | 2009

Precise Point Positioning Ambiguity Resolution: Are we there yet?

F. Norman Teferle; J. Geng; Xiaolin Meng; Alan Dodson; Maorong Ge; Caroline Shi; James Nga-kwok Liu


Archive | 2009

Storm Surge and Non-Tidal Ocean Loading Effects on Geodetic GPS Observations

Simon D. P. Williams; Nigel T. Penna; F. Norman Teferle; J. Geng


Archive | 2009

Real-time Precise Point Positioning with Ambiguity Resolution for Geosciences

J. Geng; X Meng; Fn Teferle; Ah Dodson; M Ge; C Shi; J Liu


Archive | 2008

Ambiguity Resolution in Precise Point Positioning for Sub-cm Precision With Hourly Data

J. Geng; Xiaolin Meng; F. Norman Teferle; Alan Dodson; Caroline Shi; James Nga-kwok Liu

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Xiaolin Meng

University of Nottingham

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Alan Dodson

University of Nottingham

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Simon D. P. Williams

National Oceanography Centre

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