Title
Initial Assessment of Precise Point Positioning with LEO Enhanced Global Navigation Satellite Systems (LeGNSS).
Abstract
The main challenge of precise point positioning (PPP) applications is the long convergence time of typically a half hour, or even more, to achieve centimeter accuracy. Even when the multi-constellation is involved and ambiguity resolution is implemented, it still requires about ten minutes. It is becoming a hot spot to incorporate the low Earth orbit (LEO) satellite constellation for enhancing the Global Navigation Satellite System (GNSS), named here as LEO-enhanced GNSS (LeGNSS). In this system, the LEO satellites cannot only receive GNSS signals, but also serve as GNSS satellites by transmitting similar navigation signals to the ground users, but with higher signal strength and much faster geometric change due to their low altitude. As a result, the convergence time of PPP is expected to be shortened to a few minutes, or even seconds. Simulation software is developed to simulate GNSS and LEO observations for ground stations taking into account tropospheric delay, satellite clock errors, observation noises, as well as other error sources. Then the number of visible satellites, the geometry dilution of precision (GDOP), and the convergence time of the kinematic mode of PPP are evaluated on a global scale compared to those of GNSS systems. The simulation results show that LeGNSS can decrease the PPP convergence to 5 min. If there are more LEO satellites included in the LeGNSS, it is expected that the initialization of PPP can be further shortened.
Year
DOI
Venue
2018
10.3390/rs10070984
REMOTE SENSING
Keywords
Field
DocType
precise point positioning (PPP),LEO enhanced Global Navigation Satellite System (LeGNSS),dilution of precision (GDOP),convergence time
Satellite,Remote sensing,Geology,Precise Point Positioning
Journal
Volume
Issue
ISSN
10
7
2072-4292
Citations 
PageRank 
References 
4
1.14
1
Authors
7
Name
Order
Citations
PageRank
Haibo Ge142.15
Bofeng Li22310.38
Maorong Ge32919.02
Nan Zang441.14
Liangwei Nie541.14
Yunzhong Shen6135.10
Harald Schuh73520.68