Next Article in Journal
A Region Merging Segmentation with Local Scale Parameters: Applications to Spectral and Elevation Data
Previous Article in Journal
Classification of Expansive Grassland Species in Different Growth Stages Based on Hyperspectral and LiDAR Data
Previous Article in Special Issue
BeiDou System (BDS) Triple-Frequency Ambiguity Resolution without Code Measurements
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Editorial for Multi-Constellation Global Navigation Satellite Systems: Methods and Applications

1
GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430072, China
2
Deutsches GeoForschungsZentrum (GFZ), 14473 Potsdam, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(12), 2023; https://doi.org/10.3390/rs10122023
Submission received: 4 December 2018 / Accepted: 6 December 2018 / Published: 12 December 2018
This is a great era of significant changes and innovations in the field of geodesy and navigation with the emerging multi-constellation Global Navigation Satellite Systems (GNSS). While just about a decade ago, the US Global Positioning System (GPS) was the only fully operational constellation and took on a major role in positioning and navigation around the world [1,2,3,4]. But the situation has changed and now three other constellations have been attracting global attention. Besides GPS, Russia has renewed and managed to maintain fully operational of GLONASS after the 24th satellite was launched into orbit in 2011 [5]; China and Europe are building their own independent global navigation systems BeiDou and Galileo as well. As an assistance of GPS, Satellite Based Augmentation Systems (SBASs) are also built to improve the position accuracy, reliability and availability of GPS performance [6]. In China and Europe the analogical systems are named National BDS Augmentation Service System (NBASS) [7] and European Geostationary Navigation Overlay Service (EGNOS) [8,9], which function as SBASs but are designed for BeiDou and Galileo respectively.
We believe it will be a promising vision that high precise positioning may be available even in GPS-adverse environments when all these global constellations are finished in the near future. GNSS is no doubt a significant tool not only in people’s daily life but also in research filed and military. It has redefined the concept of positioning and navigation. With the advent of multi-GNSS, a variety of applications utilizing GNSS have been thriving including location based services [10,11], GNSS seismology [12,13,14], GNSS deformation monitoring [15,16,17,18], etc. In these fields GNSS works as a reliable and effective approach to provide position-related information and as a supplementary of traditional methods.
Undoubtedly, some existing or emerging problems are inevitable and need to be worked out before obtaining high precision multi-GNSS position. These problems involve the compatibility and interoperability among multi-GNSS, precise orbit determination, ambiguity resolution, inter-system biases, atmospheric modelling and so on. But it is encouraging that increasing researchers, professionals and students are devoted to this area to pursue better performance of GNSS positioning and its affiliated applications and some significant progress has been made.
So we pick out 45 publications in these two years from our journal (Remote Sensing) and intend to print into a book dedicated to the methods and applications of multi-GNSS. These publications cover the rapid developments that have been taking place in the area of multi-GNSS in recent years and its diverse usages in relevant fields.
This book is organized as follows: The first part focuses on the methods of multi-GNSS data processing to achieve high precise positions and some studies on multi-frequency biases [19,20], augmentation services [7] and ambiguity resolution [21,22] will be introduced; The second part will present how to carry out GNSS precise orbit determination and some refined models [23,24,25]; The third part deals with some studies on troposphere and ionosphere features using GNSS observables [26,27,28,29]; And the last part of this book will vividly present the applications of GNSS in various areas ranging from deformation monitoring, seismology to the integration with inertial navigation systems used on UAV and urban environments [30,31].
We hope this book will help readers to dig into the basic theory behind GNSS data processing and have new ideas on GNSS scientific applications. By the way, we believe multi-GNSS will bring us new probabilities and opportunities to our life with the fully operational of BeiDou and Galileo systems in the near future.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Rycroft, M.J. Understanding GPS. Principles and Applications. J. Atmos. Solar Terr. Phys. 1996, 59, 598–599. [Google Scholar] [CrossRef]
  2. Zumberge, J.F.; Heflin, M.B.; Jefferson, D.C.; Watkins, M.M.; Webb, F.H. Precise point positioning for the efficient and robust analysis of GPS data from large networks. J. Geop. Res. Solid Earth. 1997, 102, 5005–5017. [Google Scholar] [CrossRef] [Green Version]
  3. Ge, M.; Gendt, G.; Rothacher, M.; Shi, C.; Liu, J. Resolution of GPS carrier-phase ambiguities in Precise Point Positioning (PPP) with daily observations. J. Geo. 2008, 82, 389–399. [Google Scholar] [CrossRef]
  4. Geng, J. Triple-frequency GPS precise point positioning with rapid ambiguity resolution. J. Geo. 2013, 87, 449–460. [Google Scholar] [CrossRef]
  5. Nurmi, J.; Lohan, E.S.; Sand, S.; Hurskainen, H. GALILEO Positioning Technology. Signals Commun. Technol. 2014, 182, S98. [Google Scholar] [CrossRef]
  6. Platt, S.; Weyman, A.; Hirsch, S.; Hewett, S. The Social Behaviour Assessment Schedule (SBAS): Rationale, contents, scoring and reliability of a new interview schedule. Soc. Psychiatry 1980, 15, 43–55. [Google Scholar] [CrossRef]
  7. Shi, C.; Zheng, F.; Lou, Y.; Gu, S.; Zhang, W.; Dai, X.; Li, X.; Guo, H.; Gong, X.; Shi, C. National BDS Augmentation Service System (NBASS) of China: Progress and assessment. Remote Sens. 2017, 9, 1–16. [Google Scholar]
  8. EGNOS—The European Geostationary Navigation Overlay System—A Conerstone of Galileo. Available online: http://www.esa.int/About_Us/ESA_Publications/EGNOS_The_European_Geostationary_Navigation_Overlay_System_A_Cornerstone_of_Galileo_br_ESA_SP-1303 (accessed on 12 December 2018).
  9. Ilcev, D.; Moyo, S. European Geostationary Navigation Overlay Service (EGNOS). In Proceedings of the Ist-Africa Conference Proceedings, Gaborone, Botswana, 11–13 May 2011; pp. 1–14. [Google Scholar]
  10. Chow, C.Y.; Mokbel, M.F.; Liu, X. A peer-to-peer spatial cloaking algorithm for anonymous location-based service. In Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, Arlington, VA, USA, 5–11 November 2006; pp. 171–178. [Google Scholar]
  11. Dhar, S.; Varshney, U. Challenges and Business Models for Mobile Location-Based Services and Advertising; Association for Computing Machinery (ACM): New York, NY, USA, 2011. [Google Scholar]
  12. Geng, J.; Bock, Y.; Melgar, D.; Crowell, B.W.; Haase, J.S. A new seismogeodetic approach applied to GPS and accelerometer observations of the 2012 Brawley seismic swarm: Implications for earthquake early warning. Geochem. Geophys. Geosyst. 2013, 14, 2124–2142. [Google Scholar] [CrossRef]
  13. Jin, S.; Occhipinti, G.; Jin, R. GNSS ionospheric seismology: Recent observation evidences and characteristics. Earth Sci. Rev. 2015, 147, 54–64. [Google Scholar] [CrossRef]
  14. Zhong, S.; Xu, C.; Yi, L.; Li, Y. Focal Mechanisms of the 2016 Central Italy Earthquake Sequence Inferred from High-Rate GPS and Broadband Seismic Waveforms. Remote Sens. 2018, 10, 512. [Google Scholar] [CrossRef]
  15. Dong, D.N.; Bock, Y. Global Positioning System Network Analysis With Phase Ambiguity Resolution Applied to Crustal Deformation Studies in California. J. Geophys. Res. Solid Eart 1989, 94, 3949–3966. [Google Scholar] [CrossRef]
  16. Kim, D.; Langley, R.B.; Bond, J.; Chrzanowski, A. Local deformation monitoring using GPS in an open pit mine: initial study. Gps Solu. 2003, 7, 176–185. [Google Scholar] [CrossRef]
  17. Chen, Q.; Jiang, W.; Meng, X.; Jiang, P.; Wang, K.; Xie, Y.; Ye, J. Vertical Deformation Monitoring of the Suspension Bridge Tower Using GNSS: A Case Study of the Forth Road Bridge in the UK. Remote Sens. 2018, 10, 364. [Google Scholar] [CrossRef]
  18. Liu, R.; Zou, R.; Li, J.; Zhang, C.; Zhao, B.; Zhang, Y. Vertical Displacements Driven by Groundwater Storage Changes in the North China Plain Detected by GPS Observations. Remote Sens. 2018, 10, 259. [Google Scholar] [CrossRef]
  19. Pan, L.; Li, X.; Zhang, X.; Li, X.; Lu, C.; Zhao, Q.; Liu, J. Considering Inter-Frequency Clock Bias for BDS Triple-Frequency Precise Point Positioning. Remote Sens. 2017, 9, 734. [Google Scholar] [CrossRef]
  20. Li, W.; Li, M.; Shi, C.; Fang, R.; Zhao, Q.; Meng, X.; Yang, G.; Bai, W. GPS and BeiDou Differential Code Bias Estimation Using Fengyun-3C Satellite Onboard GNSS Observations. Remote Sens. 2017, 9, 1239. [Google Scholar] [CrossRef]
  21. Liu, Y.; Song, W.; Lou, Y.; Ye, S.; Zhang, R. GLONASS phase bias estimation and its PPP ambiguity resolution using homogeneous receivers. GPS Solut. 2017, 21, 427–437. [Google Scholar] [CrossRef]
  22. Jia, C.; Zhao, L.; Li, L.; Li, H.; Cheng, J.; Li, Z. Improving the Triple-Carrier Ambiguity Resolution with a New Ionosphere-Free and Variance-Restricted Method. Remote Sens. 2017, 9, 1108. [Google Scholar] [CrossRef]
  23. Chen, M.; Liu, Y.; Guo, J.; Song, W.; Zhang, P.; Wu, J.; Zhang, D. Precise Orbit Determination of BeiDou Satellites with Contributions from Chinese National Continuous Operating Reference Stations. Remote Sens. 2017, 9, 810. [Google Scholar] [CrossRef]
  24. Zhang, Q.; Guo, X.; Qu, L.; Zhao, Q. Precise Orbit Determination of FY-3C with Calibration of Orbit Biases in BeiDou GEO Satellites. Remote Sens. 2018, 10, 382. [Google Scholar] [CrossRef]
  25. Wang, C.; Guo, J.; Zhao, Q.; Liu, J. Solar Radiation Pressure Models for BeiDou-3 I2-S Satellite: Comparison and Augmentation. Remote Sens. 2018, 10, 118. [Google Scholar] [CrossRef]
  26. Zhao, Q.; Yao, Y.; Cao, X.; Zhou, F.; Xia, P. An Optimal Tropospheric Tomography Method Based on the Multi-GNSS Observations. Remote Sens. 2018, 10, 234. [Google Scholar] [CrossRef]
  27. Liu, Y.; Fu, L.; Wang, J.; Zhang, C. Studying Ionosphere Responses to a Geomagnetic Storm in June 2015 with Multi-Constellation Observations. Remote Sens. 2018, 10, 666. [Google Scholar] [CrossRef]
  28. Krypiak-Gregorczyk, A.; Wielgosz, P.; Borkowski, A. Ionosphere Model for European Region Based on Multi-GNSS Data and TPS Interpolation. Remote Sens. 2017, 9, 1221. [Google Scholar] [CrossRef]
  29. Wang, C.; Shi, C.; Fan, L.; Zhang, H. Improved Modeling of Global Ionospheric Total Electron Content Using Prior Information. Remote Sens. 2018, 10, 63. [Google Scholar] [CrossRef]
  30. Jiang, S.; Jiang, W. On-Board GNSS/IMU Assisted Feature Extraction and Matching for Oblique UAV Images. Remote Sens. 2017, 9, 813. [Google Scholar] [CrossRef]
  31. Li, T.; Zhang, H.; Gao, Z.; Chen, Q.; Niu, X. High-accuracy positioning in urban environments using single-frequency multi-GNSS RTK/MEMSIMU integration. Remote Sens. 2018, 10, 205. [Google Scholar] [CrossRef]

Share and Cite

MDPI and ACS Style

Geng, J.; Ge, M. Editorial for Multi-Constellation Global Navigation Satellite Systems: Methods and Applications. Remote Sens. 2018, 10, 2023. https://doi.org/10.3390/rs10122023

AMA Style

Geng J, Ge M. Editorial for Multi-Constellation Global Navigation Satellite Systems: Methods and Applications. Remote Sensing. 2018; 10(12):2023. https://doi.org/10.3390/rs10122023

Chicago/Turabian Style

Geng, Jianghui, and Maorong Ge. 2018. "Editorial for Multi-Constellation Global Navigation Satellite Systems: Methods and Applications" Remote Sensing 10, no. 12: 2023. https://doi.org/10.3390/rs10122023

APA Style

Geng, J., & Ge, M. (2018). Editorial for Multi-Constellation Global Navigation Satellite Systems: Methods and Applications. Remote Sensing, 10(12), 2023. https://doi.org/10.3390/rs10122023

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop