GA-ARMA Model for Predicting IGS RTS Corrections
Joint Authors
Source
International Journal of Aerospace Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-06
Country of Publication
Egypt
No. of Pages
7
Abstract EN
The global navigation satellite system (GNSS) is widely used to estimate user positions.
For precise positioning, users should correct for GNSS error components such as satellite orbit and clock errors as well as ionospheric delay.
The international GNSS service (IGS) real-time service (RTS) can be used to correct orbit and clock errors in real-time.
Since the IGS RTS provides real-time corrections via the Internet, intermittent data loss can occur due to software or hardware failures.
We propose applying a genetic algorithm autoregressive moving average (GA-ARMA) model to predict the IGS RTS corrections during data loss periods.
The RTS orbit and clock corrections are predicted up to 900 s via the GA-ARMA model, and the prediction accuracies are compared with the results from a generic ARMA model.
The orbit prediction performance of the GA-ARMA is nearly equivalent to that of ARMA, but GA-ARMA’s clock prediction performance is clearly better than that of ARMA, achieving a 32% error reduction.
Predicted RTS corrections are applied to the broadcast ephemeris, and precise point positioning accuracies are compared.
GA-ARMA shows a significant accuracy improvement over ARMA, particularly in terms of vertical positioning.
American Psychological Association (APA)
Kim, Mingyu& Kim, Jeongrae. 2017. GA-ARMA Model for Predicting IGS RTS Corrections. International Journal of Aerospace Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1158135
Modern Language Association (MLA)
Kim, Mingyu& Kim, Jeongrae. GA-ARMA Model for Predicting IGS RTS Corrections. International Journal of Aerospace Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1158135
American Medical Association (AMA)
Kim, Mingyu& Kim, Jeongrae. GA-ARMA Model for Predicting IGS RTS Corrections. International Journal of Aerospace Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1158135
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1158135