sensors-logo

Journal Browser

Journal Browser

Special Issue "Multi-GNSS Precise Positioning and Applications"

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

Deadline for manuscript submissions: 30 December 2021.

Special Issue Editors

Dr. Robert Odolinski
Website
Guest Editor
National School of Surveying, University of Otago, PO Box 56, Dunedin 9054, New Zealand
Interests: multi-GNSS precise positioning; integer ambiguity resolution; low-cost GNSS receiver; smartphone positioning
Dr. Amir Khodabandeh
Website
Guest Editor
Department of Infrastructure Engineering, University of Melbourne, Parkville VIC 3010 Australia
Interests: estimation theory; GNSS precise positioning; GNSS quality control
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Precise, cm-level satellite positioning is possible through the tracking of radio-frequency signals of the pseudo-range (code) and carrier-phase types. This has traditionally required expensive GPS receivers and antennas that cost several thousands of dollars. In the past few years, however, there has been a development of mass-market, low-cost, single- and multi-frequency receivers (and smartphones), which are able to track the code and phase signals from several regional and global navigation satellite systems (RNSSs/GNSSs). These RNSSs/GNSSs include BDS (China), Galileo (Europe), QZSS (Japan), NavIC (India) and GLONASS (Russia), and the lower cost enables precise GNSS positioning for a range of new applications. There has also been a recent development in low Earth orbit (LEO) satellites that can help to improve the positioning performance further when augmented with GNSS.

This Special Issue aims to highlight the development of such multi-GNSS positioning models and the performance that can be obtained. Topics include, but are not limited to, the following:

  • Multi-GNSS inter-system and inter- and intra-frequency biases.
  • Single/multi-frequency and multi-GNSS positioning and applications, making use of high-grade and low-cost receiver and antenna equipment (including smartphones).
  • LEO and GNSS augmentation.
  • Reliability analysis (ARAIM/DIA) using multi-GNSS models and single/multiple frequencies.
  • Multi-GNSS networks and precise point positioning (PPP), real-time kinematic (RTK), and national positioning infrastructure (NPI) developments.

Dr. Robert Odolinski
Dr. Amir Khodabandeh
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 papers will be 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. Sensors 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 2200 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

  • Multi Global Navigation Satellite System (GNSS)
  • Regional Navigation Satellite System (RNSS)
  • Precise Real-Time Kinematic (RTK) positioning
  • Precise Point Positioning (PPP)
  • Inter-system biases (ISBs)
  • Inter- and intra-system biases
  • Low-cost receivers and antennas
  • Smartphones
  • Integer Ambiguity Resolution (IAR)

Published Papers (4 papers)

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

Research

Open AccessArticle
Improving the Performance of Time-Relative GNSS Precise Positioning in Remote Areas
Sensors 2021, 21(1), 292; https://doi.org/10.3390/s21010292 - 04 Jan 2021
Abstract
Global navigation satellite systems (GNSS) can attain centimeter level positioning accuracy, which is conventionally provided by real-time precise point positioning (PPP) and real-time kinematic (RTK) techniques. Corrections from the data center or the reference stations are required in these techniques to reduce various [...] Read more.
Global navigation satellite systems (GNSS) can attain centimeter level positioning accuracy, which is conventionally provided by real-time precise point positioning (PPP) and real-time kinematic (RTK) techniques. Corrections from the data center or the reference stations are required in these techniques to reduce various GNSS errors. The time-relative positioning approach differs from the traditional PPP and RTK in the sense that it does not require external real-time corrections. It computes the differences in positions of a single receiver at different epochs using phase observations. As the code observations are not used in this approach, its performance is not affected by the noise and multipath of code observations. High reliability is another advantage of time-relative precise positioning because the ambiguity resolution is not needed in this approach. Since the data link is not required in the method, this approach has been widely used in remote areas where wireless data link is not available. The main limitation of time-relative positioning is that its accuracy degrades over time between epochs because of the temporal variation of various errors. The application of the approach is usually limited to be within a time interval of less than 20 min. The purpose of this study was to increase the time interval of time-relative positioning and to extend the use of this method to applications with a longer time requirement, especially in remote areas without wireless communication. In this paper, the main error sources of the time-relative method are first analyzed in detail, and then the approach to improve the accumulated time relative positioning method is proposed. The performance of the proposed method is assessed using both static and dynamic observations with a duration as long as several hours. The experiments presented in this paper show that, among the four scenarios tested (i.e., GPS, GPS/Galileo, GPS/Galileo/BeiDou, and GPS/Galileo/BeiDou/GLONASS), GPS/Galileo/BeiDou performed best and GPS/Galileo/BeiDou/GLONASS performed worst. The maximum positioning errors were mostly within 0.5 m in the horizontal direction, even after three hours with GPS/Galileo/BeiDou. It is expected that the method could be used for positioning and navigation for as long as several hours with decimeter level horizontal accuracy in remote areas without wireless communication. Full article
(This article belongs to the Special Issue Multi-GNSS Precise Positioning and Applications)
Show Figures

Figure 1

Open AccessArticle
Study on Multi-GNSS Precise Point Positioning Performance with Adverse Effects of Satellite Signals on Android Smartphone
Sensors 2020, 20(22), 6447; https://doi.org/10.3390/s20226447 - 11 Nov 2020
Abstract
The emergence of dual frequency global navigation satellite system (GNSS) chip actively promotes the progress of precise point positioning (PPP) technology in Android smartphones. However, some characteristics of GNSS signals on current smartphones still adversely affect the positioning accuracy of multi-GNSS PPP. In [...] Read more.
The emergence of dual frequency global navigation satellite system (GNSS) chip actively promotes the progress of precise point positioning (PPP) technology in Android smartphones. However, some characteristics of GNSS signals on current smartphones still adversely affect the positioning accuracy of multi-GNSS PPP. In order to reduce the adverse effects on positioning, this paper takes Huawei Mate30 as the experimental object and presents the analysis of multi-GNSS observations from the aspects of carrier-to-noise ratio, cycle slip, gradual accumulation of phase error, and pseudorange residual. Accordingly, we establish a multi-GNSS PPP mathematical model that is more suitable for GNSS observations from a smartphone. The stochastic model is composed of GNSS step function variances depending on carrier-to-noise ratio, and the robust Kalman filter is applied to parameter estimation. The multi-GNSS experimental results show that the proposed PPP method can significantly reduce the effect of poor satellite signal quality on positioning accuracy. Compared with the conventional PPP model, the root mean square (RMS) of GPS/BeiDou (BDS)/GLONASS static PPP horizontal and vertical errors in the initial 10 min decreased by 23.71% and 62.06%, respectively, and the horizontal positioning accuracy reached 10 cm within 100 min. Meanwhile, the kinematic PPP maximum three-dimensional positioning error of GPS/BDS/GLONASS decreased from 16.543 to 10.317 m. Full article
(This article belongs to the Special Issue Multi-GNSS Precise Positioning and Applications)
Show Figures

Figure 1

Open AccessArticle
Performance Evaluation of Real-Time Precise Point Positioning with Both BDS-3 and BDS-2 Observations
Sensors 2020, 20(21), 6027; https://doi.org/10.3390/s20216027 - 23 Oct 2020
Abstract
For time-critical precise applications, one popular technology is the real-time precise point positioning (PPP). In recent years, there has been a rapid development in the BeiDou Navigation Satellite System (BDS), and the constellation of global BDS (BDS-3) has been fully deployed. In addition [...] Read more.
For time-critical precise applications, one popular technology is the real-time precise point positioning (PPP). In recent years, there has been a rapid development in the BeiDou Navigation Satellite System (BDS), and the constellation of global BDS (BDS-3) has been fully deployed. In addition to the regional BDS (BDS-2) constellation, the real-time stream CLK93 has started to support the BDS-3 constellation, indicating that the real-time PPP processing involving BDS-3 observations is feasible. In this study, the global positioning performance of real-time PPP with BDS-3/BDS-2 observations is initially evaluated using the datasets from 147 stations. In the east, north and upward directions, positioning accuracy of 1.8, 1.2 and 2.5 cm in the static mode, and of 6.7, 5.1 and 10.4 cm in the kinematic mode can be achieved for the BDS-3/BDS-2 real-time PPP, respectively, while the corresponding convergence time with a threshold of 10 cm is 32.9, 23.7 and 32.8 min, and 66.9, 42.9 and 69.1 min in the two modes in the three directions, respectively. To complete this, the availability of BDS-3/BDS-2 constellations, the quality of BDS-3/BDS-2 real-time precise satellite products, and the BDS-3/BDS-2 post-processed PPP solutions are also analyzed. For comparison, the results for the GPS are also presented. Full article
(This article belongs to the Special Issue Multi-GNSS Precise Positioning and Applications)
Show Figures

Figure 1

Open AccessArticle
An Improved Relative GNSS Tracking Method Utilizing Single Frequency Receivers
Sensors 2020, 20(15), 4073; https://doi.org/10.3390/s20154073 - 22 Jul 2020
Cited by 1
Abstract
The Global Navigation Satellite Systems (GNSS) becomes the primary choice for device localization in outdoor situations. At the same time, many applications do not require precise absolute Earth coordinates, but instead, inferring the geometric configuration information of the constituent nodes in the system [...] Read more.
The Global Navigation Satellite Systems (GNSS) becomes the primary choice for device localization in outdoor situations. At the same time, many applications do not require precise absolute Earth coordinates, but instead, inferring the geometric configuration information of the constituent nodes in the system by relative positioning. The Real-Time Kinematic (RTK) technique shows its efficiency and accuracy in calculating the relative position. However, when the cycle slips occur, the RTK method may take a long time to obtain a fixed ambiguity value, and the positioning result will be a “float” solution with a low meter accuracy. The novel method presented in this paper is based on the Relative GNSS Tracking Algorithm (Regtrack). It calculates the changes in the relative baseline between two receivers without an ambiguity estimation. The dead reckoning method is used to give out the relative baseline solution while a parallel running Extended Kalman Filter (EKF) method reinitiates the relative baseline when too many validation failures happen. We conducted both static and kinematic tests to assess the performance of the new methodology. The experimental results show that the proposed strategy can give accurate millimeter-scale solutions of relative motion vectors in adjacent two epochs. The relative baseline solution can be sub-decimeter level with or without the base station is holding static. In the meantime, when the initial tracking point and base station coordinates are precisely obtained, the tracking result error can be only 40 cm away from the ground truth after a 25 min drive test in an urban environment. The efficiency test shows that the proposed method can be a real-time method, the time that calculates one epoch of measurement data is no more than 80 ms and is less than 10 ms for best results. The novel method can be used as a more robust and accurate ambiguity free tracking approach for outdoor applications. Full article
(This article belongs to the Special Issue Multi-GNSS Precise Positioning and Applications)
Show Figures

Figure 1

Back to TopTop