remotesensing-logo

Journal Browser

Journal Browser

Innovative Solutions of GNSS Precise Point Positioning

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Satellite Missions for Earth and Planetary Exploration".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 967

Special Issue Editors


E-Mail Website
Guest Editor
European Commission, Brussels, Belgium
Interests: Galileo; navigation; global positioning system; localization; satellite systems; global navigation; satellite system positioning; satellite

E-Mail Website
Guest Editor
u-blox Italia S.p.A., Sgonico, Italy
Interests: spacecraft; GNSS; Galileo

E-Mail Website
Guest Editor
Topcon Positioning System, Inc., Modena, Italy
Interests: GNSS; Galileo; signal processing; estimation theory; Kalman filtering; tracking; inertial sensors; navigation; receiver design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Precise Point Positioning (PPP) based on Global Navigation Satellite Systems (GNSS) provides highly accurate positions, and its adoption is rapidly growing in several applications.

The trend of autonomous driving in transportation (automotive, UAVs, maritime, rail, and personal transportation) has increased the need for positioning with centimeter-level accuracy, which cannot be reached with standard GNSS solutions. The modernization of GNSS, the use of multiple constellations, and multiple frequencies reduced the time required by PPP techniques to converge to the desired accuracy level. Recently, the European Commission started the provision of the Galileo High Accuracy Service, which will include free PPP corrections worldwide and further promote the adoption of PPP in mass-market and non-professional sectors.

In this context, challenges such as the reliability and integrity of GNSS PPP need to be addressed and solved. These aspects are crucial, especially in safety-critical applications, which are affected by degradation due to local threats, multipath, ionospheric anomalies, no line-of-sight signals, signal masking, and inaccurate error models. Research topics of interest include but are not limited to advanced PPP techniques, advanced integer ambiguity resolution, advanced receiver integrity monitoring algorithm, advanced fault detection and exclusions, ranging error bounding and time correlation models, the integration of local sensors, the integration of signals from Low-Earth-Orbit (LEO) satellites, external services based on high-resolution maps, error model characterization, and the application of machine learning techniques.

This Special Edition aims to discuss the latest research on PPP innovative solutions and develop new ideas and research directions. Articles will foster and contribute to the research on this new GNSS frontier.

Dr. Ignacio Fernández-Hernández
Dr. Ilaria Martini
Dr. Melania Susi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Precise Point Positioning (PPP)
  • Global Navigation Satellite System (GNSS)
  • ambiguity resolution
  • error model
  • advanced receiver autonomous integrity monitoring
  • ranging error bounding
  • time correlation models
  • Low-Earth-Orbit (LEO) satellites
  • sensor fusions
  • high-resolution maps
  • integration with machine learning techniques

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

21 pages, 14030 KiB  
Article
A New Method for Deformation Monitoring of Structures by Precise Point Positioning
by Ruihui Li, Zijian Zhang, Yu Gao, Junyi Zhang and Haibo Ge
Remote Sens. 2023, 15(24), 5743; https://doi.org/10.3390/rs15245743 - 15 Dec 2023
Viewed by 577
Abstract
Although deformations are mostly insignificant, they can be catastrophic when accumulated to certain amounts. Precise point positioning (PPP) can work with one receiver, preventing problems caused by the base station constrain upon employment of current methods such as real-time kinematics (RTK). However, current [...] Read more.
Although deformations are mostly insignificant, they can be catastrophic when accumulated to certain amounts. Precise point positioning (PPP) can work with one receiver, preventing problems caused by the base station constrain upon employment of current methods such as real-time kinematics (RTK). However, current methods employing PPP focus on high-frequency monitoring such as earthquake or geological calamity monitoring, and these methods are not suitable for structures. Thus, this study proposes a new method for the deformation monitoring of structures via PPP. First, we obtained the coordinate sequence of structures via static PPP when setting the interval. Then, we transformed the coordinates to the same coordinate system with the same basis. Finally, we decomposed the sequences via empirical mode decomposition (EMD) to obtain a low-frequency part, which is the deformation of the target structure. The result of the monitoring experimentation on IGS stations shows that the monitoring index, Sd, of the sequence under different intervals using this method could be 1–2 mm on average in the directions of E, N, and U, which is much better than the original monitoring sequence. Alongside that, it prevented a fall in accuracy when the interval decreased. Therefore, all results proved the feasibility and validity of the method. Full article
(This article belongs to the Special Issue Innovative Solutions of GNSS Precise Point Positioning)
Show Figures

Graphical abstract

Back to TopTop