2011
DOI: 10.5687/sss.2011.228 View full text |Buy / Rent full text
|
|

Abstract: In the long baseline GPS (Global Positioning System)/GNSS (Global Navigation Satellite System) relative positioning the ionospheric and tropospheric delays are dominant factors for the positioning accuracy. In this paper, we present Real Time Kinematic (RTK) relative positioning algorithms for long baselines with simultaneously estimating ionospheric and tropospheric delays and their gradients. Also some dynamical models [1-3] of the rover station are reviewed for applying Kalman filters, and we show the exper… Show more

Help me understand this report

Search citation statements

Order By: Relevance
Select...
2
1
1
0
4
0

Year Published

2016
2016
2018
2018

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

0
4
0
Order By: Relevance
“…(3)-(6), unknown variables to be estimated in the positioning calculations are u, δI, δT , N L1 and N L2 . By using vector-matrix forms, we consider the following discrete time linear state space model for the static environment [10]:…”
Section: State Space Modelmentioning
See 1 more Smart Citation
Create an account to read the remaining citation statements from this report. You will also get access to:
  • Search over 1b+ citation statments to see what is being said about any topic in the research literature
  • Advanced Search to find publications that support or contrast your research
  • Citation reports and visualizations to easily see what publications are saying about each other
  • Browser extension to see Smart Citations wherever you read research
  • Dashboards to evaluate and keep track of groups of publications
  • Alerts to stay on top of citations as they happen
  • Automated reference checks to make sure you are citing reliable research in your manuscripts
  • 14 day free preview of our premium features.

Trusted by researchers and organizations around the world

Over 100,000 students researchers, and industry experts at use scite

See what students are saying

rupbmjkragerfmgwileyiopcupepmcmbcthiemesagefrontiersapsiucrarxivemeralduhksmucshluniversity-of-gavle
“…(3)-(6), unknown variables to be estimated in the positioning calculations are u, δI, δT , N L1 and N L2 . By using vector-matrix forms, we consider the following discrete time linear state space model for the static environment [10]:…”
Section: State Space Modelmentioning
“…We compare the above described four methods integrating ambiguity estimation and Kalman filter from the theoretical and experimental points of view. At first, based on [8][9][10], the measurement models for relative positioning that are utilized in this paper are shown. When two receivers observe signals from common n s satellites at time (epoch) t, with appropriate linearization, socalled double differenced measurement of the code pseudoranges and the carrier phases are modeled as follows:…”
Section: Introductionmentioning
“…Now we assume n s satellites are observed by two receivers at time (epoch) t, then n s −1 observables are respectively obtained for the equations (1) ∼ (4), i.e. totally (n s − 1) × 4 observables are available at epoch t. Therefore, by using vector-matrix form, we consider the following discrete time linear state space model [6]:…”
Section: System Modelmentioning
“…is added to the measurement equation (6). In the proposed method, the satellite orbit and the ionospheric delay information from LEX signal are efficiently utilized, and it is expected that the ambiguity can be more quickly and precisely resolved.…”
Section: Application Of Lex Signal Information To Positioningmentioning