GNSS Precise Point Positioning: Towards Global Instantaneous cm-Level Accuracy
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: closed (31 December 2021) | Viewed by 28106
Special Issue Editor
Special Issue Information
Dear Colleagues,
Precise point positioning (PPP) using global navigation satellite systems (GNSS) enables accurate positioning worldwide. Recent advances, including improved error source modeling and the modernization of GNSS constellations, have reduced the time required to achieve cm-level accuracies from hours to seconds, creating new possibilities for several applications.
The objective of this Special Issue is to address the remaining technical challenges associated with global instantaneous high-accuracy GNSS positioning. Timely and reliable positioning can only be achieved through careful attention to detail in all system components, including space segment, signal propagation medium, and receiver design. Research topics of interest include but are not limited to satellite orbit dynamics (solar radiation pressure, attitude), atmospheric augmentation (functional and stochastic models, contribution of low-Earth orbit (LEO) satellites, correction dissemination), and end-user algorithms (stochastic models, time correlation, ambiguity validation). Since integrity plays a critical role in many emerging applications, novel network and end-user techniques for improved error source characterization are also of interest.
I hope that by focusing our efforts on these technical challenges, end-users in a wide range of applications including autonomous vehicles, marine navigation, and many more, can experience fast and accurate positioning globally.
Dr. Simon Banville
Guest Editor
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Keywords
- Global navigation satellite systems (GNSS)
- Precise point positioning (PPP)
- Satellite orbit dynamics
- Ionosphere
- Troposphere
- Low-Earth orbit (LEO) satellites
- Stochastic modeling
- Ambiguity validation
- Integrity
- Augmentation data dissemination
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