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Precise Point Positioning with Multiple GNSS

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (5 November 2019) | Viewed by 4021

Special Issue Editors


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Guest Editor
Geodesy and Geospatial Engineering, Institute of Civil and Environmental Engineering, Department of Engineering, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, L-1359 Luxembourg, Luxembourg
Interests: 3D city modeling; BIM; object classification; segmentation; precise agricultural; forest monitoring; machine learning; big data analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Geodesy and Geospatial Engineering, Institute of Civil and Environmental Engineering, University of Luxembourg, 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg, Luxembourg
Interests: geodesy; GNSS; GNSS processing; gravity field determination; GNSS meteorology; interferometric synthetic aperture radar

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Guest Editor
GNSS Research Center, Wuhan University, Wuhan 430079, China
Interests: high-precision GNSS positioning; undifferenced ambiguity resolution; GNSS seismology; earthquake and tsunami early warning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Precise Point Positioning (PPP) has evolved as a serious Global Positioning System (GPS) processing strategy since its development in the late 1990s. Benefitting from 32 GPS satellites on orbit, the availability of high-accuracy satellite orbit and clock products, and modern bias modelling methods, PPP has been able to produce comparable results to differential network processing strategies while being extremely computationally efficient and user friendly.

The station-wise resolution of integer ambiguities (AR) was achieved through the estimation of uncalibrated hardware delays in the late 2000s. PPP-AR strategies improved the overall performance of PPP and allowed, for the first time, the computation of high-accuracy satellite orbit and clock products based entirely on undifferenced observations. At the same time, the world has entered an environment with multiple Global Navigation Satellite System (GNSS) constellations; besides GPS and GLONASS, systems have been developed in China (BeiDou), Europe (Galileo), Japan (QZSS), and India (IRNSS) and have now reached a state of near completion. Much effort has been undertaken to develop PPP-AR strategies for these new GNSS and combinations thereof, which has involved the estimation of a number of biases (differential code and phase biases, inter-frequency biases, inter-system biases, and hardware biases) to allow consistent processing to be carried out using several GNSS and to reconstruct the integer character of the phase ambiguities.

This Special Issue aims to attract scientific contributions in the field of PPP with multi-GNSS observations and may include studies of PPP-AR, the generation of satellite orbit and clock products using undifferenced observations, bias products for PPP-AR, and new algorithms and applications.

Prof. Dr. Felix Norman Teferle
Dr. Addisu Hunegnaw
Prof. Dr. Jianghui Geng
Guest Editors

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Keywords

  • global navigation satellite system
  • precise point positioning
  • integer ambiguity resolution
  • undifferenced GNSS
  • high-precision GNSS
  • differential code biases
  • differential phase biases
  • inter-frequency biases
  • uncalibrated hardware biases
  • real-time PPP

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Published Papers (1 paper)

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Research

10 pages, 3630 KiB  
Article
Reducing the Effect of Positioning Errors on Kinematic Raw Doppler (RD) Velocity Estimation Using BDS-2 Precise Point Positioning
by Shunli Duan, Wei Sun, Chenhao Ouyang, Xinyu Chen and Junbo Shi
Sensors 2019, 19(13), 3029; https://doi.org/10.3390/s19133029 - 9 Jul 2019
Cited by 7 | Viewed by 3271
Abstract
In the traditional raw Doppler (RD) velocity estimation method, the positioning error of the pseudorange-based global navigation satellite system (GNSS) single point positioning (SPP) solution affects the accuracy of the velocity estimation through the station-satellite unit cosine vector. To eliminate the effect of [...] Read more.
In the traditional raw Doppler (RD) velocity estimation method, the positioning error of the pseudorange-based global navigation satellite system (GNSS) single point positioning (SPP) solution affects the accuracy of the velocity estimation through the station-satellite unit cosine vector. To eliminate the effect of positioning errors, this paper proposes a carrier-phase-based second generation of the BeiDou navigation satellite system (BDS-2) precise point positioning (PPP) RD velocity estimation method. Compared with the SPP positioning accuracy of tens of meters, the BDS-2 kinematic PPP positioning accuracy is significantly improved to the dm level. In order to verify the reliability and applicability of the developed method, three dedicated tests, the vehicle-borne, ship-borne and air-borne platforms, were conducted. In the vehicle-borne experiment, the GNSS and inertial navigation system (INS)-integrated velocity solution was chosen as the reference. The velocity accuracy of the BDS-2 PPP RD method was better than that of SPP RD by 28.4%, 27.1% and 26.1% in the east, north and up directions, respectively. In the ship-borne and air-borne experiments, the BDS-2 PPP RD velocity accuracy was improved by 17.4%, 21.4%, 17.8%, and 38.1%, 17.6%, 17.5% in the same three directions, respectively, compared with the BDS-2 SPP RD solutions. The reference in these two tests is the real-time kinematic (RTK) Position Derivation (PD)-based velocity. Full article
(This article belongs to the Special Issue Precise Point Positioning with Multiple GNSS)
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