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New Approaches, New Technologies and New Applications of Satellite Navigation Systems

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

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 4685

Special Issue Editors


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Guest Editor
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
Interests: GNSS data analysis including POD; clock analysis; SBAS; PPP; PPP-RTK; LEO augmentation; reference frame and geodynamics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Surveying and Geo-Informatics, Tongji University, Shanghai, China
Interests: GNSS precise point positioning; GNSS biases analysis
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Interests: intelligent transport systems; multi-sensor integration; data fusion; integrity monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 2020 International Association of Professionals in Global Positioning Systems (CPGPS) Forum will be held on November 12–14, 2020 in Shanghai, China (http://202.127.29.4/shao_gnss_ac/cpgnss2020.html) and organized by Shanghai Astronomical Observatory of the Chinese Academy of Sciences. The CPGPS Forum will offer an ideal platform for GNSS-related researchers to share the latest research results and discuss new research directions for the future. We encourage researchers to present their exciting GNSS-related research results, especially new applications in orbit determination and precise positioning, navigation, and timing (PNT), and discuss new approaches, new technologies, and new applications for the development of next-generation satellite navigation systems.

Authors of papers relevant to Sensors who present at this forum are invited to submit extended versions of their work to this Special Issue for publication.

Related topics:

  • Satellite orbit and satellite clock
  • Precise positioning and timing
  • Satellite navigation and scientific applications
  • Navigation augmentation of high and low orbit satellite
  • System and design of navigation signal
  • Integrated navigation and industrial applications

Prof. Dr. Junping Chen
Dr. Haojun Li
Dr. Rui Sun
Guest Editors

Manuscript Submission Information

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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 2600 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.

Published Papers (2 papers)

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Research

14 pages, 2715 KiB  
Article
A New Ground-Based Pseudolite System Deployment Algorithm Based on MOPSO
by Wenjie Tang, Junping Chen, Chao Yu, Junsheng Ding and Ruyuan Wang
Sensors 2021, 21(16), 5364; https://doi.org/10.3390/s21165364 - 09 Aug 2021
Cited by 3 | Viewed by 2080
Abstract
Pseudolite deployment is the premise of ground-based pseudolite system networking, which affects the coverage and positioning accuracy of ground-based pseudolite systems. Optimal deployment algorithms can help to achieve a higher signal coverage and lower mean horizontal precision factor (HDOP) with a limited number [...] Read more.
Pseudolite deployment is the premise of ground-based pseudolite system networking, which affects the coverage and positioning accuracy of ground-based pseudolite systems. Optimal deployment algorithms can help to achieve a higher signal coverage and lower mean horizontal precision factor (HDOP) with a limited number of pseudolites. In this paper, we proposed a multi-objective particle swarm optimization (MOPSO) algorithm for the deployment of a ground-based pseudolite system. The new algorithm combines Digital Elevation Model (DEM) data and uses the mean HDOP of the DEM grid to measure the geometry of the pseudolite system. The signal coverage of the pseudolite system was calculated based on the visual area analysis with respect to reference planes, which effectively avoids the repeated calculation of the intersection and improves the calculation efficiency. A selected area covering 10 km×10 km in the Jiuzhaigou area of China was used to verify the new algorithm. The results showed that both the coverage and HDOP achieved were optimal using the new algorithm, where the coverage area can be up to approximately 50% and 30% more than using the existing particle swarm optimization (PSO) and convex polyhedron volume optimization (CPVO) algorithms, respectively. Full article
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14 pages, 2908 KiB  
Article
Single-Frequency Precise Point Positioning Using Regional Dual-Frequency Observations
by Junping Zou, Ahao Wang and Jiexian Wang
Sensors 2021, 21(8), 2856; https://doi.org/10.3390/s21082856 - 18 Apr 2021
Cited by 3 | Viewed by 2005
Abstract
High-precision and low-cost single-frequency precise point positioning (SF-PPP) has been attracting more and more attention in numerous global navigation satellite system (GNSS) applications. To provide the precise ionosphere delay and improve the positioning accuracy of the SF-PPP, the dual-frequency receiver, which receives dual-frequency [...] Read more.
High-precision and low-cost single-frequency precise point positioning (SF-PPP) has been attracting more and more attention in numerous global navigation satellite system (GNSS) applications. To provide the precise ionosphere delay and improve the positioning accuracy of the SF-PPP, the dual-frequency receiver, which receives dual-frequency observations, is used. Based on the serviced precise ionosphere delay, which is generated from the dual-frequency observations, the high-precision SF-PPP is realized. To further improve the accuracy of the SF-PPP and shorten its convergence time, the double-differenced (DD) ambiguity resolutions, which are generated from the DD algorithm, are introduced. This method avoids the estimation of fractional cycle bias (FCB) for the SF-PPP ambiguity. Here, we collected data from six stations of Shanghai China which was processed, and the corresponding results were analyzed. The results of the dual-frequency observations enhanced SF-PPP realize centimeter-level positioning. The difference between the results of two stations estimated with dual-frequency observations enhanced SF-PPP were compared with the relative positioning results computed with the DD algorithm. Experimental results showed that the relative positioning accuracy of the DD algorithm is slightly better than that of the dual-frequency observations enhanced SF-PPP. This could be explained by the effect of the float ambiguity resolutions on the positioning accuracy. The data was processed with the proposed method for the introduction of the DD ambiguity into SF-PPP and the results indicated that this method could improve the positioning accuracy and shorten the convergence time of the SF-PPP. The results could further improve the deformation monitoring ability of SF-PPP. Full article
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