Real Time Modeling of the Systematic Error in GPS Observables Due to Ionosphere
Abstract
Single frequency GPS receivers have been many used in GPS surveys. Among the
several applications, one can mention those that are to obtain the receiver's antenna
coordinates in real time. One of the main error sources to these applications is the
ionosphere systematic error. In the FCT/UNESP a regional ionosphere model
(Mod_Ion) was developed. It has been implemented to execute after collecting of GPS data. At real time applications two improvements in the Mod_Ion were
introduced, consisting of an alteration of the function of modeling and
implementation of the Kalman Filter. The results of the experiments showed that the
modifications were the most effective in the ionosphere systematic effects
corrections, providing a improvement in the accuracy of point positioning, of
90,75%, in period of the highest ionosphere activity.
several applications, one can mention those that are to obtain the receiver's antenna
coordinates in real time. One of the main error sources to these applications is the
ionosphere systematic error. In the FCT/UNESP a regional ionosphere model
(Mod_Ion) was developed. It has been implemented to execute after collecting of GPS data. At real time applications two improvements in the Mod_Ion were
introduced, consisting of an alteration of the function of modeling and
implementation of the Kalman Filter. The results of the experiments showed that the
modifications were the most effective in the ionosphere systematic effects
corrections, providing a improvement in the accuracy of point positioning, of
90,75%, in period of the highest ionosphere activity.
Keywords
Ionosfera; GPS; Pseudodistância; Filtro de Kalman; Ionosphere; GPS; Pseudorange; Kalman Filter
