GA-ARMA Model for Predicting IGS RTS Corrections
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...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/6316590 |
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| author | Mingyu Kim Jeongrae Kim |
| author_facet | Mingyu Kim Jeongrae Kim |
| author_sort | Mingyu Kim |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c78d1c2f3db44a24bec76eaae38a29f7 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-c78d1c2f3db44a24bec76eaae38a29f72025-02-03T01:23:29ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742017-01-01201710.1155/2017/63165906316590GA-ARMA Model for Predicting IGS RTS CorrectionsMingyu Kim0Jeongrae Kim1School of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-City 10540, Republic of KoreaSchool of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-City 10540, Republic of KoreaThe 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.http://dx.doi.org/10.1155/2017/6316590 |
| spellingShingle | Mingyu Kim Jeongrae Kim GA-ARMA Model for Predicting IGS RTS Corrections International Journal of Aerospace Engineering |
| title | GA-ARMA Model for Predicting IGS RTS Corrections |
| title_full | GA-ARMA Model for Predicting IGS RTS Corrections |
| title_fullStr | GA-ARMA Model for Predicting IGS RTS Corrections |
| title_full_unstemmed | GA-ARMA Model for Predicting IGS RTS Corrections |
| title_short | GA-ARMA Model for Predicting IGS RTS Corrections |
| title_sort | ga arma model for predicting igs rts corrections |
| url | http://dx.doi.org/10.1155/2017/6316590 |
| work_keys_str_mv | AT mingyukim gaarmamodelforpredictingigsrtscorrections AT jeongraekim gaarmamodelforpredictingigsrtscorrections |