GNSS best integer equivariant estimation using multivariant t-distribution: a case study for precise point positioning

2021 ◽  
Vol 95 (1) ◽  
Author(s):  
Viet Duong ◽  
Ken Harima ◽  
Suelynn Choy ◽  
Chris Rizos
Keyword(s):  
Precise Point Positioning ◽  
Equivariant Estimation ◽  
Point Positioning ◽  
T Distribution

scholarly journals Simulation case study of deformations and landslides using real-time GNSS precise point positioning technique

2016 ◽  
Vol 7 (6) ◽  
pp. 1856-1873 ◽  
Author(s):  
Raquel M. Capilla ◽  
José Luis Berné ◽  
Angel Martín ◽  
Raul Rodrigo
Keyword(s):  
Real Time ◽  
Precise Point Positioning ◽  
Positioning Technique ◽  
Point Positioning

scholarly journals Ambiguity Resolution In Precise Point Positioning Technique: A Case Study

2015 ◽  
Vol 5 (1) ◽  
pp. 53-60 ◽  
Author(s):  
S. Nistor ◽  
A. S. Buda
Keyword(s):  
Ambiguity Resolution ◽  
Carrier Phase ◽  
Precise Point Positioning ◽  
Main Idea ◽  
Convergence Time ◽  
Powerful Method ◽  
Satellite Clock ◽  
Positioning Technique ◽  
Point Positioning

Abstract Because of the dynamics of the GPS technique used in different domains like geodesy, near real-time GPS meteorology, geodynamics, the precise point positioning (PPP) becomes more than a powerful method for determining the position, or the delay caused by the atmosphere. The main idea of this method is that we need only one receiver – preferably that have dual frequencies pseudorange and carrier-phase capabilities – to obtain the position. Because we are using only one receiver the majority of the residuals that are eliminated in double differencing method, we have to estimate them in PPP. The development of the PPP method allows us, to use precise satellite clock estimates, and precise orbits, resulting in a much more efficient way to deal with the disadvantages of this technique, like slow convergence time, or ambiguity resolution. Because this two problem are correlated, to achieve fast convergence we need to resolve the problem of ambiguity resolution. But the accuracy of the PPP results are directly influenced by presence of the uncalibrated phase delays (UPD) originating in the receivers and satellites. In this article we present the GPS errors and biases, the zenith wet delay and the necessary time for obtaining the convergence. The necessary correction are downloaded by using the IGS service.

The potential of GPS Precise Point Positioning method for point displacement monitoring: A case study

Measurement ◽  
2016 ◽  
Vol 91 ◽  
pp. 398-404 ◽  
Author(s):  
Cemal Ozer Yigit ◽  
M. Zeki Coskun ◽  
Hakan Yavasoglu ◽  
Abdullah Arslan ◽  
Yunus Kalkan
Keyword(s):  
Precise Point Positioning ◽  
Displacement Monitoring ◽  
Positioning Method ◽  
Point Positioning

scholarly journals Accurate Evaluation of Vertical Tidal Displacement Determined by GPS Kinematic Precise Point Positioning: A Case Study of Hong Kong

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2559 ◽  
Author(s):  
Guoguang Wei ◽  
Qijie Wang ◽  
Wei Peng
Keyword(s):  
Hong Kong ◽  
Precise Point Positioning ◽  
The Body ◽  
Ocean Tide ◽  
Depth Analysis ◽  
Global Positioning ◽  
Point Positioning ◽  
Tidal Constituents ◽  
Tide Effect

Global Positioning System (GPS) kinematic precise point positioning (KPPP) is an effective approach for estimating the Earth’s tidal deformation. The accuracy of KPPP is usually evaluated by comparing results with tidal models. However, because of the uncertainties of the tidal models, the accuracy of KPPP-estimated tidal displacement is difficult to accurately determine. In this paper, systematic vector differences between GPS estimates and tidal models were estimated by least squares methods in complex domain to analyze the uncertainties of tidal models and determine the accuracy of KPPP-estimated tidal displacements. Through the use of GPS data for 12 GPS reference stations in Hong Kong from 2008 to 2017, vertical ocean tide loading displacements (after removing the body tide effect) for eight semidiurnal and diurnal tidal constituents were obtained by GPS KPPP. By an in-depth analysis of the systematic and residual differences between the GPS estimates and nine tidal models, we demonstrate that the uncertainty of the tidal displacement determined by GPS KPPP for the M2, N2, O1, and Q1 tidal constituents is 0.2 mm, and for the S2 constituent it is 0.5 mm, while the accuracy of the GPS-estimated K1, P1, and K2 tidal constituents is weak because these three tidal constituents are affected by significant common-mode errors. These results suggest that GPS KPPP can be used to precisely constrain the Earth’s vertical tidal displacement in the M2, N2, O1, and Q1 tidal frequencies.

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