17:15 〜 18:45
[SGD01-P09] 地域電離層データ同化モデルが精密測位に与える影響の評価
キーワード：精密測位法、地域電離層モデル、データ同化
This research introduces a new method to enhance the accuracy and decrease the time it takes for Precise Point Positioning (PPP) in Global Positioning System (GPS) navigation to converge to a stable state. The focus is on how a regional ionospheric data assimilation model with high spatial and temporal resolution affects PPP in Taiwan. We also assess PPP's performance using different models like Klobuchar, International Reference Ionosphere (IRI), and a global ionospheric data assimilation model.
Compared to the standard IRI, the data assimilated IRI model enhances the overall ionospheric total electron content by about 76%. It notably reduces horizontal positioning errors and shortens PPP's convergence time by approximately 71%, even during geomagnetic storm events. Consequently, this study concludes that employing a regional ionospheric data assimilation model with high resolution can improve PPP's accuracy and decrease its convergence time. These findings offer valuable insights for future research, particularly in developing more precise and efficient models for correcting ionospheric delay in GPS navigation. The more detail information and results will be presented in the conference.
Compared to the standard IRI, the data assimilated IRI model enhances the overall ionospheric total electron content by about 76%. It notably reduces horizontal positioning errors and shortens PPP's convergence time by approximately 71%, even during geomagnetic storm events. Consequently, this study concludes that employing a regional ionospheric data assimilation model with high resolution can improve PPP's accuracy and decrease its convergence time. These findings offer valuable insights for future research, particularly in developing more precise and efficient models for correcting ionospheric delay in GPS navigation. The more detail information and results will be presented in the conference.